SEKOIA-IO/automation-library
Mar 2026 – Jun 2026
4 Months active
Languages Used
JSONPythonMarkdown
Technical Skills
API DevelopmentAPI developmentAPI integrationData ManagementUnit Testingbackend development
Jules-L-Sekoia
PROFILE
Jules-l-sekoia
Over four months, contributed to SEKOIA-IO/automation-library by building and refining backend features for dataset and query management. Focused on enhancing API reliability, data validation, and error handling, the work included implementing dataset lifecycle actions, improving query execution with file export, and strengthening schema correctness. Applied consistent code formatting and documentation updates to support maintainability and developer experience. Used Python, JSON, and version control to deliver robust tests, refactor manifests, and align API paths. Addressed bugs in dataset operations and query listing, ensuring stable data workflows and clearer release processes while emphasizing code quality and future scalability throughout development.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
20Total
Bugs
3
Commits
20
Features
8
Lines of code
3,399
Activity Months4
Your Network
70 peopleSame Organization
@sekoia.io34
Shared Repositories
36
Work History
June 2026
6 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary for SEKOIA-IO/automation-library. This period focused on delivering reliable data export, stabilizing API interactions, and improving code quality to support maintainability and future scalability. Highlights include: enhancements to file saving for query results, targeted code quality and API stability work, and fixes to dataset/list query APIs along with corresponding changelog/manifest updates. The work emphasizes business value through more reliable data workflows, fewer runtime issues, and clearer, well-structured code changes that ease future development and maintenance.
6 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary for SEKOIA-IO/automation-library. This period focused on delivering reliable data export, stabilizing API interactions, and improving code quality to support maintainability and future scalability. Highlights include: enhancements to file saving for query results, targeted code quality and API stability work, and fixes to dataset/list query APIs along with corresponding changelog/manifest updates. The work emphasizes business value through more reliable data workflows, fewer runtime issues, and clearer, well-structured code changes that ease future development and maintenance.
June 2026
May 2026
7 Commits • 3 Features
May 1, 2026May 2026: SEKOIA-IO/automation-library delivered API reliability improvements, usability enhancements for query execution, and release readiness for version 2.72.0. Key changes include API timeouts and retries for dataset operations, improved dataset deletion reliability, a default to_file value for query execution, schema correctness improvements, code readability refactors, and updated release notes. These changes were implemented with targeted tests and aligned across commits, driving more reliable data access, improved user experience, and clearer release articulation.
May 2026
7 Commits • 3 Features
May 1, 2026May 2026: SEKOIA-IO/automation-library delivered API reliability improvements, usability enhancements for query execution, and release readiness for version 2.72.0. Key changes include API timeouts and retries for dataset operations, improved dataset deletion reliability, a default to_file value for query execution, schema correctness improvements, code readability refactors, and updated release notes. These changes were implemented with targeted tests and aligned across commits, driving more reliable data access, improved user experience, and clearer release articulation.
April 2026
3 Commits • 2 Features
Apr 1, 2026April 2026 — SEKOIA-IO/automation-library delivered robust dataset and query management enhancements and code quality improvements, driving stronger data workflows and API reliability. Business value focused on streamlined data lifecycle operations, reduced error rates, and improved developer experience through consistent formatting and clearer APIs.
3 Commits • 2 Features
Apr 1, 2026April 2026 — SEKOIA-IO/automation-library delivered robust dataset and query management enhancements and code quality improvements, driving stronger data workflows and API reliability. Business value focused on streamlined data lifecycle operations, reduced error rates, and improved developer experience through consistent formatting and clearer APIs.
April 2026
March 2026
4 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary: Delivered dataset management enhancements in SEKOIA-IO/automation-library with robust tests, manifest fixes, and improved observability to boost reliability and automation throughput.
March 2026
4 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary: Delivered dataset management enhancements in SEKOIA-IO/automation-library with robust tests, manifest fixes, and improved observability to boost reliability and automation throughput.
Activity
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Quality Metrics
Correctness90.0%
Maintainability89.0%
Architecture89.0%
Performance90.0%
AI Usage38.0%
Skills & Technologies
Programming Languages
JSONMarkdownPython
Technical Skills
AI integrationAPI DevelopmentAPI developmentAPI integrationCode FormattingData ManagementData ValidationDocumentationError HandlingJSON schemaJSON schema designPythonTestingUnit TestingVersion Control
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline