KhiopsML/khiops
May 2024 – Feb 2026
22 Months active
Languages Used
C++JavaLexYaccCNSISPythonCMake
Technical Skills
C++C++ developmentC++ programmingCode RefactoringDebuggingalgorithm design
Marc Boullé
PROFILE
Marc Boullé
Marc Boulle developed core data modeling and processing features for the KhiopsML/khiops repository, focusing on scalable multi-table workflows, robust memory management, and extensible rule-based data transformations. He engineered enhancements such as JSON-driven parameterization, graph and list derivation rules, and a scenario templating engine, using C++ and Python to ensure efficient backend performance and maintainable code structure. His work included refactoring for modularity, improving error handling, and optimizing build and test systems for cross-platform reliability. By addressing complex data relationships and automating deployment pipelines, Marc delivered solutions that improved data integrity, release readiness, and the flexibility of analytics workflows.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
212Total
Bugs
28
Commits
212
Features
74
Lines of code
89,662
Activity Months22
Your Network
50 people
Work History
February 2026
7 Commits • 3 Features
Feb 1, 2026February 2026 focused on strengthening data modeling flexibility, improving error handling, and confirming release readiness. Key features include new text handling rules for JSON-based entity construction and string literal support for Categorical/Text with tolerance checks. A critical debug-mode histogram bug was fixed, and release housekeeping updated framework and test versions to 11.0.1-a.1.
7 Commits • 3 Features
Feb 1, 2026February 2026 focused on strengthening data modeling flexibility, improving error handling, and confirming release readiness. Key features include new text handling rules for JSON-based entity construction and string literal support for Categorical/Text with tolerance checks. A critical debug-mode histogram bug was fixed, and release housekeeping updated framework and test versions to 11.0.1-a.1.
February 2026
January 2026
23 Commits • 8 Features
Jan 1, 2026January 2026 (2026-01) monthly delivery focused on strengthening build reliability, expanding JSON handling capabilities, and tightening licensing/compliance. The work spanned build system enhancements, JSON-based rule extensions, and targeted fixes to keep the Khiops platform robust and easier to maintain as dependencies evolve. Delivered results reduce risk in production pipelines, improve developer feedback loops, and set the stage for richer data processing capabilities in 2026.
January 2026
23 Commits • 8 Features
Jan 1, 2026January 2026 (2026-01) monthly delivery focused on strengthening build reliability, expanding JSON handling capabilities, and tightening licensing/compliance. The work spanned build system enhancements, JSON-based rule extensions, and targeted fixes to keep the Khiops platform robust and easier to maintain as dependencies evolve. Delivered results reduce risk in production pipelines, improve developer feedback loops, and set the stage for richer data processing capabilities in 2026.
December 2025
10 Commits • 4 Features
Dec 1, 2025December 2025 monthly summary for KhiopsML/khiops: The team delivered notable enhancements across test stability, data path handling, graph/derivation capabilities, and code quality, driving reliability, modeling flexibility, and maintainability. Key outcomes include robust test behavior across Linux/macOS, improved logging readability, stronger dictionary integrity, and the introduction of a graph-building rule with multi-scope derivation support, enabling more complex data relationships. These efforts reduce maintenance costs and accelerate stable releases, while expanding the product's data modeling capabilities.
10 Commits • 4 Features
Dec 1, 2025December 2025 monthly summary for KhiopsML/khiops: The team delivered notable enhancements across test stability, data path handling, graph/derivation capabilities, and code quality, driving reliability, modeling flexibility, and maintainability. Key outcomes include robust test behavior across Linux/macOS, improved logging readability, stronger dictionary integrity, and the introduction of a graph-building rule with multi-scope derivation support, enabling more complex data relationships. These efforts reduce maintenance costs and accelerate stable releases, while expanding the product's data modeling capabilities.
December 2025
November 2025
5 Commits • 3 Features
Nov 1, 2025November 2025 development summary for Khiops (KhiopsML/khiops). Focused on expanding data modeling capabilities, improving rule-based processing, and reducing technical debt. Delivered three core features with forward-looking impact on production pipelines and data workflows, and completed deprecation cleanup to simplify maintenance and future enhancements.
November 2025
5 Commits • 3 Features
Nov 1, 2025November 2025 development summary for Khiops (KhiopsML/khiops). Focused on expanding data modeling capabilities, improving rule-based processing, and reducing technical debt. Delivered three core features with forward-looking impact on production pipelines and data workflows, and completed deprecation cleanup to simplify maintenance and future enhancements.
October 2025
5 Commits • 2 Features
Oct 1, 2025Month: 2025-10 — Khiops development monthly summary focused on delivering a Windows launcher for Khiops execution, stabilizing CI/packaging, improving cross‑platform compatibility, and updating samples with new datasets. Business value centers on improved user experience, reliable deployment, and expanded data assets for customers.
5 Commits • 2 Features
Oct 1, 2025Month: 2025-10 — Khiops development monthly summary focused on delivering a Windows launcher for Khiops execution, stabilizing CI/packaging, improving cross‑platform compatibility, and updating samples with new datasets. Business value centers on improved user experience, reliable deployment, and expanded data assets for customers.
October 2025
September 2025
5 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Focused on memory management, memory estimation accuracy, and test reliability for large-scale data processing in Khiops. Delivered robust memory handling for external tables, improved memory estimations for KWDataTableDriverTextFile, and enhanced KNI memory management, with test suite alignment to reflect library updates. These work efforts reduce OOM risk, improve resource planning, and strengthen data processing reliability in large datasets.
September 2025
5 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Focused on memory management, memory estimation accuracy, and test reliability for large-scale data processing in Khiops. Delivered robust memory handling for external tables, improved memory estimations for KWDataTableDriverTextFile, and enhanced KNI memory management, with test suite alignment to reflect library updates. These work efforts reduce OOM risk, improve resource planning, and strengthen data processing reliability in large datasets.
August 2025
12 Commits • 4 Features
Aug 1, 2025August 2025 monthly summary for Khiops ML development focused on stabilizing memory usage, improving data-path architecture, and enabling scalable testing, with targeted documentation improvements to enhance user confidence and maintainability. Key outcomes include a comprehensive memory management and guard overhaul, a focused refactor of the object data-path infrastructure, and the introduction of scalable testing utilities that support volume and performance validation across datasets.
12 Commits • 4 Features
Aug 1, 2025August 2025 monthly summary for Khiops ML development focused on stabilizing memory usage, improving data-path architecture, and enabling scalable testing, with targeted documentation improvements to enhance user confidence and maintainability. Key outcomes include a comprehensive memory management and guard overhaul, a focused refactor of the object data-path infrastructure, and the introduction of scalable testing utilities that support volume and performance validation across datasets.
August 2025
July 2025
15 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for Khiops development focused on stabilizing and scaling the core Data Path framework, strengthening test reliability, and preparing release readiness for 11.x. Delivered a comprehensive Data Path Management System overhaul with new objects and controllers to uniquely identify objects, enable reproducible randomization, and optimize data path compilation and multi-table object creation. This included refactors of KWDatabase, KWMTDatabase, and KWDRRelationCreationRule, plus reporting safety and performance improvements. Stabilized CI by addressing test discovery reliability and updated version/test configurations to support 11.0.0-b.1. Fixed per-task progress behavior to reflect accurate per-task progress via an external counter, improving monitoring and user feedback. These changes enhance data integrity, performance, and CI stability, enabling faster iteration and more reliable releases.
July 2025
15 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for Khiops development focused on stabilizing and scaling the core Data Path framework, strengthening test reliability, and preparing release readiness for 11.x. Delivered a comprehensive Data Path Management System overhaul with new objects and controllers to uniquely identify objects, enable reproducible randomization, and optimize data path compilation and multi-table object creation. This included refactors of KWDatabase, KWMTDatabase, and KWDRRelationCreationRule, plus reporting safety and performance improvements. Stabilized CI by addressing test discovery reliability and updated version/test configurations to support 11.0.0-b.1. Fixed per-task progress behavior to reflect accurate per-task progress via an external counter, improving monitoring and user feedback. These changes enhance data integrity, performance, and CI stability, enabling faster iteration and more reliable releases.
June 2025
23 Commits • 6 Features
Jun 1, 2025June 2025 monthly summary for KhiopsML/khiops: Delivered substantive enhancements in encoding error handling, CSV/double-quote handling, and scenario templating, accompanied by targeted bug fixes and code hygiene improvements that collectively boost data reliability, model training stability, and platform maintainability. The work strengthens ingestion pipelines, reporting clarity, and experimental repeatability, enabling faster business decisions and more robust data science workflows.
23 Commits • 6 Features
Jun 1, 2025June 2025 monthly summary for KhiopsML/khiops: Delivered substantive enhancements in encoding error handling, CSV/double-quote handling, and scenario templating, accompanied by targeted bug fixes and code hygiene improvements that collectively boost data reliability, model training stability, and platform maintainability. The work strengthens ingestion pipelines, reporting clarity, and experimental repeatability, enabling faster business decisions and more robust data science workflows.
June 2025
May 2025
13 Commits • 3 Features
May 1, 2025May 2025 – KhiipsML/khiips: Focused on strengthening model interpretability, templating resilience, and release readiness. Delivered Shapley-based variable-importance enhancements for SNB and pair variables, hardened JSON templating to tolerate missing/null keys with warnings and improved error reporting, and updated versioning macros to reflect the latest releases. These changes improve business-relevant explanations, reduce configuration errors, and streamline CI/CD and release processes.
May 2025
13 Commits • 3 Features
May 1, 2025May 2025 – KhiipsML/khiips: Focused on strengthening model interpretability, templating resilience, and release readiness. Delivered Shapley-based variable-importance enhancements for SNB and pair variables, hardened JSON templating to tolerate missing/null keys with warnings and improved error reporting, and updated versioning macros to reflect the latest releases. These changes improve business-relevant explanations, reduce configuration errors, and streamline CI/CD and release processes.
April 2025
14 Commits • 2 Features
Apr 1, 2025April 2025 (Month: 2025-04) for the KhiopsML/khiops project focused on delivering a robust overhaul of the Interpretation and Reinforcement Module, cleaning up legacy code, and tightening release hygiene and API consistency. The work reduces technical debt, improves model interpretability and runtime efficiency, and enhances the reliability of predictive workflows for business users.
14 Commits • 2 Features
Apr 1, 2025April 2025 (Month: 2025-04) for the KhiopsML/khiops project focused on delivering a robust overhaul of the Interpretation and Reinforcement Module, cleaning up legacy code, and tightening release hygiene and API consistency. The work reduces technical debt, improves model interpretability and runtime efficiency, and enhances the reliability of predictive workflows for business users.
April 2025
March 2025
6 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for KhiopsML/khiops. Focus on delivering robust data interpretation UI, stabilizing type safety in key attributes, storage optimization, and code quality improvements. These efforts provide clearer error feedback, reduced storage costs, and a stronger foundation for model interpretation and reinforcement features.
March 2025
6 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for KhiopsML/khiops. Focus on delivering robust data interpretation UI, stabilizing type safety in key attributes, storage optimization, and code quality improvements. These efforts provide clearer error feedback, reduced storage costs, and a stronger foundation for model interpretation and reinforcement features.
February 2025
8 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary for KhiopsML/khiops: Focused on delivering feature-rich, performance-oriented improvements across multi-table workflows, with emphasis on data integrity, deployment efficiency, and scalable writing paths. Key areas include dense output format integration for faster transfers, dynamic unloading of unused attributes in multi-table deployments, compute-mode optimizations to avoid unnecessary computations, sparse blocks support for view-based data feeds, and improved deployment validation and statistics reporting.
8 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary for KhiopsML/khiops: Focused on delivering feature-rich, performance-oriented improvements across multi-table workflows, with emphasis on data integrity, deployment efficiency, and scalable writing paths. Key areas include dense output format integration for faster transfers, dynamic unloading of unused attributes in multi-table deployments, compute-mode optimizations to avoid unnecessary computations, sparse blocks support for view-based data feeds, and improved deployment validation and statistics reporting.
February 2025
January 2025
6 Commits • 2 Features
Jan 1, 2025January 2025 performance highlights for Khiops: Delivered two core features focused on code quality, reliability, and build efficiency. Key outcomes include harmonizing copyright notices across the codebase for 2023–2025 with automated year updates via pre-commit, and a comprehensive codebase refactor to simplify object lifecycle, improve attribute propagation, and optimize build-related workflows and attribute calculation. No major bugs were reported in this period; the work reduces maintenance risk and accelerates release readiness. Impact: decreases manual churn, shortens onboarding and review cycles, and improves license metadata correctness and runtime attribute handling. Technologies/skills demonstrated: Python core refactor, pre-commit tooling, build system optimization, and attribute management.
January 2025
6 Commits • 2 Features
Jan 1, 2025January 2025 performance highlights for Khiops: Delivered two core features focused on code quality, reliability, and build efficiency. Key outcomes include harmonizing copyright notices across the codebase for 2023–2025 with automated year updates via pre-commit, and a comprehensive codebase refactor to simplify object lifecycle, improve attribute propagation, and optimize build-related workflows and attribute calculation. No major bugs were reported in this period; the work reduces maintenance risk and accelerates release readiness. Impact: decreases manual churn, shortens onboarding and review cycles, and improves license metadata correctness and runtime attribute handling. Technologies/skills demonstrated: Python core refactor, pre-commit tooling, build system optimization, and attribute management.
December 2024
31 Commits • 14 Features
Dec 1, 2024December 2024 — Khiops: Delivered significant data-model enhancements, reliability fixes, and performance/UX improvements across the multi-table dictionary architecture. Key outcomes include JSON export of continuous-precision statistics, persistent ForceUnique metadata, standardized root/main dictionary terminology across modules, critical correctness fixes for non-root dictionaries and root-referencing in multi-table schemas, and performance/logging improvements that reduce noise and improve maintainability. These changes deliver tangible business value: more accurate exports for analytics, safer metadata handling, clearer code semantics for faster onboarding, and improved system stability under complex multi-table scenarios.
31 Commits • 14 Features
Dec 1, 2024December 2024 — Khiops: Delivered significant data-model enhancements, reliability fixes, and performance/UX improvements across the multi-table dictionary architecture. Key outcomes include JSON export of continuous-precision statistics, persistent ForceUnique metadata, standardized root/main dictionary terminology across modules, critical correctness fixes for non-root dictionaries and root-referencing in multi-table schemas, and performance/logging improvements that reduce noise and improve maintainability. These changes deliver tangible business value: more accurate exports for analytics, safer metadata handling, clearer code semantics for faster onboarding, and improved system stability under complex multi-table scenarios.
December 2024
November 2024
7 Commits • 4 Features
Nov 1, 20242024-11 monthly summary for KhiopsML/khiops: Key features delivered include GUI startup performance improvements with enhanced Windows UI logging and timestamps to aid debugging; robust error handling and reporting improvements for data preparation and coclustering; data model integrity and mutation handling across multi-table schemas and Snowflake with improved tracing and memory management; and code modernization with Java wrapper updates and JSON naming standardization.
November 2024
7 Commits • 4 Features
Nov 1, 20242024-11 monthly summary for KhiopsML/khiops: Key features delivered include GUI startup performance improvements with enhanced Windows UI logging and timestamps to aid debugging; robust error handling and reporting improvements for data preparation and coclustering; data model integrity and mutation handling across multi-table schemas and Snowflake with improved tracing and memory management; and code modernization with Java wrapper updates and JSON naming standardization.
October 2024
5 Commits • 2 Features
Oct 1, 2024For 2024-10, delivered foundational enhancements to enable safer, automated workflow execution via JSON-driven parameters, added a modular command file management system, and stabilized attribute lifecycle memory management. These changes reduce configuration risks, improve maintainability, and support scalable automation in Khiops, reinforcing business value through reproducible pipelines and safer deployments.
5 Commits • 2 Features
Oct 1, 2024For 2024-10, delivered foundational enhancements to enable safer, automated workflow execution via JSON-driven parameters, added a modular command file management system, and stabilized attribute lifecycle memory management. These changes reduce configuration risks, improve maintainability, and support scalable automation in Khiops, reinforcing business value through reproducible pipelines and safer deployments.
October 2024
September 2024
2 Commits • 2 Features
Sep 1, 2024September 2024 monthly wrap-up for Khiops: Implemented foundational modularization of JSON services and introduced a cohesive JSON parsing framework with an object model, enhancing maintainability and enabling faster future iterations.
September 2024
2 Commits • 2 Features
Sep 1, 2024September 2024 monthly wrap-up for Khiops: Implemented foundational modularization of JSON services and introduced a cohesive JSON parsing framework with an object model, enhancing maintainability and enabling faster future iterations.
August 2024
1 Commits • 1 Features
Aug 1, 2024August 2024 — KhiipsML/khiops: Delivered modular JSON services by decoupling them from the Learning module and introduced a centralized TextService to handle text-related functionality. This refactor improves modularity, maintainability, and cross-module independence, enabling faster future feature development and more reliable text processing. Major bugs fixed: none identified this month. Overall impact: stronger architecture, reduced coupling, and readiness for scalable enhancements. Technologies/skills demonstrated: service decomposition, modular design, refactoring, JSON/service architecture, and commit-level traceability.
1 Commits • 1 Features
Aug 1, 2024August 2024 — KhiipsML/khiops: Delivered modular JSON services by decoupling them from the Learning module and introduced a centralized TextService to handle text-related functionality. This refactor improves modularity, maintainability, and cross-module independence, enabling faster future feature development and more reliable text processing. Major bugs fixed: none identified this month. Overall impact: stronger architecture, reduced coupling, and readiness for scalable enhancements. Technologies/skills demonstrated: service decomposition, modular design, refactoring, JSON/service architecture, and commit-level traceability.
August 2024
July 2024
2 Commits • 1 Features
Jul 1, 2024July 2024 monthly summary for the KhiopsML/khiops repository focused on stabilizing memory management during table creation for Snowflake schemas and views and expanding table creation flexibility with optional keys. These changes reduce runtime risks, improve data integrity, and enable broader modeling capabilities for production data pipelines.
July 2024
2 Commits • 1 Features
Jul 1, 2024July 2024 monthly summary for the KhiopsML/khiops repository focused on stabilizing memory management during table creation for Snowflake schemas and views and expanding table creation flexibility with optional keys. These changes reduce runtime risks, improve data integrity, and enable broader modeling capabilities for production data pipelines.
June 2024
6 Commits • 2 Features
Jun 1, 2024June 2024 monthly summary for Khiops (KhiopsML/khiops). Delivered major enhancements to table creation and schema handling, critical bug fix for derivation rule cycles, and codebase cleanup that reduces complexity. Business value: more reliable multi-table schemas, accurate output variable computation, and safer dictionary loading, enabling faster, safer model construction and maintenance.
6 Commits • 2 Features
Jun 1, 2024June 2024 monthly summary for Khiops (KhiopsML/khiops). Delivered major enhancements to table creation and schema handling, critical bug fix for derivation rule cycles, and codebase cleanup that reduces complexity. Business value: more reliable multi-table schemas, accurate output variable computation, and safer dictionary loading, enabling faster, safer model construction and maintenance.
June 2024
May 2024
6 Commits • 1 Features
May 1, 2024Month: 2024-05 — Khiips? (typo) KhiopsML/khiops. Focused on delivering expressive data modeling capabilities through Derived Variable Table Views and robust rule parsing, while improving stability and performance. Key features delivered: - Table Views with Derived Variables and Creation Rules: end-to-end support for creating and managing views on tables with derived variables; prototype for view creation rules; memory-safe handling of attributes when views are deleted; management system for derived-variable table views; parser for table creation rules with output operands; performance/quality improvements including compilation optimization and minor refactor. Major bugs fixed: - Fixed minor compile errors in dictionaries and across derivation pipelines; addressed compilation issues in derivation rule processing; normalized debug macro pattern to improve logging consistency. Overall impact and accomplishments: - Enabled more expressive data modeling via derived-variable views; reduced manual overhead in view management; improved reliability and performance of derivation-rule compilation; contributed to faster feature delivery and more scalable analytics workflows. Technologies/skills demonstrated: - C++ memory management, parser design, compiler optimization, code refactoring, debugging macro standardization, and system design for view management. Business value: - Accelerates delivery of complex derived-variable views, reduces risk with memory-safe operations, improves performance of rule compilation, and strengthens analytics capabilities.
May 2024
6 Commits • 1 Features
May 1, 2024Month: 2024-05 — Khiips? (typo) KhiopsML/khiops. Focused on delivering expressive data modeling capabilities through Derived Variable Table Views and robust rule parsing, while improving stability and performance. Key features delivered: - Table Views with Derived Variables and Creation Rules: end-to-end support for creating and managing views on tables with derived variables; prototype for view creation rules; memory-safe handling of attributes when views are deleted; management system for derived-variable table views; parser for table creation rules with output operands; performance/quality improvements including compilation optimization and minor refactor. Major bugs fixed: - Fixed minor compile errors in dictionaries and across derivation pipelines; addressed compilation issues in derivation rule processing; normalized debug macro pattern to improve logging consistency. Overall impact and accomplishments: - Enabled more expressive data modeling via derived-variable views; reduced manual overhead in view management; improved reliability and performance of derivation-rule compilation; contributed to faster feature delivery and more scalable analytics workflows. Technologies/skills demonstrated: - C++ memory management, parser design, compiler optimization, code refactoring, debugging macro standardization, and system design for view management. Business value: - Accelerates delivery of complex derived-variable views, reduces risk with memory-safe operations, improves performance of rule compilation, and strengthens analytics capabilities.
Activity
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Quality Metrics
Correctness89.6%
Maintainability87.0%
Architecture86.4%
Performance80.6%
AI Usage22.0%
Skills & Technologies
Programming Languages
CC++CMakeExcelJSONJavaJavaScriptKdicLexNSIS
Technical Skills
Algorithm DesignAlgorithm DevelopmentAlgorithm OptimizationBackend DevelopmentBug FixBug FixingBuild ManagementBuild SystemBuild System ConfigurationBuild SystemsC++C++ DevelopmentC++ developmentC++ programmingCI/CD
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