gooddata/gooddata-python-sdk
Nov 2024 – Apr 2026
4 Months active
Languages Used
PythonMarkdownYAMLbashyaml
Technical Skills
AI IntegrationAPI IntegrationSDK DevelopmentCLI developmentConfiguration managementPython
Jan Soubusta
PROFILE
Jan Soubusta
Jan Soubusta contributed to the gooddata-python-sdk repository by developing features such as native Analytics-as-Code YAML support and AI chat integration, focusing on automation and backend development. He implemented Python-based CLI tools to replace Node.js dependencies, streamlined project validation with auto-fix scripts integrated into AIDA policies, and enhanced workspace management. Jan addressed cross-version compatibility and improved repository hygiene by refining configuration management and version control practices. Using Python, YAML, and WASM, he delivered solutions that improved code quality, reduced maintenance overhead, and enabled interactive analytics workflows, demonstrating depth in SDK development, validation tooling, and collaborative documentation standards within the project.
Overall Statistics
Feature vs Bugs
64%Features
Repository Contributions
17Total
Bugs
4
Commits
17
Features
7
Lines of code
179,328
Activity Months4
Your Network
72 peopleSame Organization
@gooddata.com45
Adam FiedlerMember
alexole01Member
Andy ChumakMember
Anna BenkeMember
Auto ImplementerMember
GoodData AutomationMember
nknbichMember
Christopher BonillaMember
Dan HomolaMember
Shared Repositories
27
Adam FiedlerMember
alexole01Member
Marcelo G. AlmironMember
Anna BenkeMember
Auto ImplementerMember
GoodData AutomationMember
Christopher BonillaMember
Dan HomolaMember
dkalocGDMember
Work History
April 2026
5 Commits • 2 Features
Apr 1, 2026April 2026 performance highlights for gooddata/gooddata-python-sdk: native Analytics-as-Code (AAC) YAML support delivered in the Python SDK, automated Python project validation with auto-fix integrated into the AIDA policy, and repository hygiene improvements, alongside WASM visualization/dashboard stability fixes. These efforts reduce dependencies, improve code quality, and accelerate AAC adoption while delivering measurable business value and maintainability.
5 Commits • 2 Features
Apr 1, 2026April 2026 performance highlights for gooddata/gooddata-python-sdk: native Analytics-as-Code (AAC) YAML support delivered in the Python SDK, automated Python project validation with auto-fix integrated into the AIDA policy, and repository hygiene improvements, alongside WASM visualization/dashboard stability fixes. These efforts reduce dependencies, improve code quality, and accelerate AAC adoption while delivering measurable business value and maintainability.
April 2026
March 2026
6 Commits • 2 Features
Mar 1, 2026Month: 2026-03 — Concise monthly summary for the GoodData Python SDK (gooddata/gooddata-python-sdk). Key features delivered: - AIDA framework upgrade and onboarding enhancements: Regenerated onboarding artifacts, updated AIDA rules/policies to align with the latest version, and adopted the newer AIDA framework version with updated preferences. Also untracked generated rule files and updated .gitignore to improve hygiene and reduce drift. Major bugs fixed: - Internal tooling and test stability: Stabilized VCR outputs and ensured deterministic YAML serialization; removed incorrect copyright headers from AIDA templates and updated ignore rules to prevent recurrence. Documentation and standards: - Documentation standards alignment: Updated the pull request body template to align with gdc-aida standards, improving consistency and clarity across contributions. Overall impact and accomplishments: - Improved onboarding experience for users, stronger policy alignment, and reduced CI noise, enabling faster iteration and higher confidence in production releases. - Demonstrated technical proficiency in Python SDK development, AIDA framework management, test tooling stabilization, and maintenance of repository hygiene.
March 2026
6 Commits • 2 Features
Mar 1, 2026Month: 2026-03 — Concise monthly summary for the GoodData Python SDK (gooddata/gooddata-python-sdk). Key features delivered: - AIDA framework upgrade and onboarding enhancements: Regenerated onboarding artifacts, updated AIDA rules/policies to align with the latest version, and adopted the newer AIDA framework version with updated preferences. Also untracked generated rule files and updated .gitignore to improve hygiene and reduce drift. Major bugs fixed: - Internal tooling and test stability: Stabilized VCR outputs and ensured deterministic YAML serialization; removed incorrect copyright headers from AIDA templates and updated ignore rules to prevent recurrence. Documentation and standards: - Documentation standards alignment: Updated the pull request body template to align with gdc-aida standards, improving consistency and clarity across contributions. Overall impact and accomplishments: - Improved onboarding experience for users, stronger policy alignment, and reduced CI noise, enabling faster iteration and higher confidence in production releases. - Demonstrated technical proficiency in Python SDK development, AIDA framework management, test tooling stabilization, and maintenance of repository hygiene.
February 2026
4 Commits • 2 Features
Feb 1, 2026February 2026: Key outcomes for gooddata-python-sdk. Features delivered: migrated package validation to AIDA configuration and extended validation profiles (lint, type-check, Python 3.14 tests) with optional compatibility and full-matrix test commands; and updated copyright to 2026 to align with repository standards. Bug fix: restored the gooddata-dbt CLI entrypoint by directing the console script to dbt_plugin.main and adding a compatibility layer for multi-version support. Impact: stronger packaging quality assurance, broader validation coverage, and smoother cross-version CLI usability, enabling safer releases and faster validation cycles. Technologies: AIDA-based validation routing, Python packaging, CLI tooling, cross-version compatibility, and repo compliance practices. JIRA references: DX-331, DX-339.
4 Commits • 2 Features
Feb 1, 2026February 2026: Key outcomes for gooddata-python-sdk. Features delivered: migrated package validation to AIDA configuration and extended validation profiles (lint, type-check, Python 3.14 tests) with optional compatibility and full-matrix test commands; and updated copyright to 2026 to align with repository standards. Bug fix: restored the gooddata-dbt CLI entrypoint by directing the console script to dbt_plugin.main and adding a compatibility layer for multi-version support. Impact: stronger packaging quality assurance, broader validation coverage, and smoother cross-version CLI usability, enabling safer releases and faster validation cycles. Technologies: AIDA-based validation routing, Python packaging, CLI tooling, cross-version compatibility, and repo compliance practices. JIRA references: DX-331, DX-339.
February 2026
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024 milestone for the Python SDK: AI Chat Integration in ComputeService with History Management enables interactive AI sessions and persistent chat history within a workspace. The work includes PoC commits to expose AI use cases and a return type update to ChatHistoryResult, establishing the foundation for AI-assisted analytics in the SDK.
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024 milestone for the Python SDK: AI Chat Integration in ComputeService with History Management enables interactive AI sessions and persistent chat history within a workspace. The work includes PoC commits to expose AI use cases and a return type update to ChatHistoryResult, establishing the foundation for AI-assisted analytics in the SDK.
Activity
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Quality Metrics
Correctness93.0%
Maintainability90.6%
Architecture91.8%
Performance89.4%
AI Usage40.0%
Skills & Technologies
Programming Languages
MarkdownPythonYAMLbashyaml
Technical Skills
AI IntegrationAPI IntegrationAPI integrationAutomationCLI DevelopmentCLI developmentConfiguration ManagementConfiguration managementDevOpsPythonPython SDK developmentPython developmentSDK DevelopmentSoftware compatibilityValidation and testing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline