tudat-team/tudatpy
Nov 2024 – Apr 2026
17 Months active
Languages Used
PythonC++CMakeRSTreStructuredTextHTMLJavaScriptMarkdown
Technical Skills
API IntegrationCode RefactoringData DownloadingData EngineeringDocumentationFile Handling
Luigi Gisolfi
PROFILE
Luigi Gisolfi
Luigi Gisolfi developed core data access, parsing, and simulation modules for the tudat-team/tudatpy repository, focusing on robust mission data workflows and orbital analysis. He engineered multi-mission data downloaders, TLE and MPC parsers, and enhanced Horizons API integration, applying Python, C++, and Pandas to streamline data ingestion and processing. His work included refactoring for maintainability, implementing error handling, and standardizing time representations, which improved reliability and reduced operational friction. By expanding test coverage and documentation, Luigi ensured reproducible research and easier onboarding. The depth of his contributions strengthened tudatpy’s data pipeline and simulation capabilities for space mission analysis.
Overall Statistics
Feature vs Bugs
69%Features
Repository Contributions
202Total
Bugs
29
Commits
202
Features
65
Lines of code
1,354,079
Activity Months17
Your Network
15 peopleShared Repositories
15
alfonsoMember
DominicDirkxMember
Suvayu AliMember
Space JonasMember
MarieFayolleMember
MarkusMember
mcontariniMember
Michael PlumarisMember
minervino96Member
Work History
April 2026
3 Commits • 1 Features
Apr 1, 2026April 2026 monthly report: Key delivery in observables API, MPC reliability, and data-handling robustness. Delivered observable size retrieval in expose_model_settings and refactored SpaceTrackQuery login to improve usability. Reinstated OBS_TYPES_TO_DROP import in MPC module to restore MPC functionality, and fixed SettingWithCopyWarning in BatchMPC by ensuring DataFrame copies before modifications. Overall, improved stability, reduced error surface, and strengthened maintainability across tudatpy.
3 Commits • 1 Features
Apr 1, 2026April 2026 monthly report: Key delivery in observables API, MPC reliability, and data-handling robustness. Delivered observable size retrieval in expose_model_settings and refactored SpaceTrackQuery login to improve usability. Reinstated OBS_TYPES_TO_DROP import in MPC module to restore MPC functionality, and fixed SettingWithCopyWarning in BatchMPC by ensuring DataFrame copies before modifications. Overall, improved stability, reduced error surface, and strengthened maintainability across tudatpy.
April 2026
March 2026
9 Commits • 3 Features
Mar 1, 2026March 2026 TudatPy monthly summary: Delivered key features to improve data retrieval, processing accuracy, and API reliability, while enhancing code quality and documentation. Focus was on robust TLE handling, data integrity, and developer experience, resulting in more reliable data for downstream analyses and reduced operational friction during network delays.
March 2026
9 Commits • 3 Features
Mar 1, 2026March 2026 TudatPy monthly summary: Delivered key features to improve data retrieval, processing accuracy, and API reliability, while enhancing code quality and documentation. Focus was on robust TLE handling, data integrity, and developer experience, resulting in more reliable data for downstream analyses and reduced operational friction during network delays.
February 2026
9 Commits • 4 Features
Feb 1, 2026February 2026 TudatPy monthly performance snapshot: Strengthened data ingestion reliability, orbital mechanics accuracy, and code maintainability to accelerate SpaceTrack workflows and analytics readiness. Delivered robust SpaceTrack query ingestion with rate-limit awareness and URL-based query support, introduced Newton-Raphson mean anomaly conversions for better orbital calculations, and reduced technical debt through targeted refactoring and improved testing. These improvements enhance data integrity, enable direct ingestion of URL-built queries, and streamline CI for remote-data validation, delivering measurable business value and scalable maintainability.
9 Commits • 4 Features
Feb 1, 2026February 2026 TudatPy monthly performance snapshot: Strengthened data ingestion reliability, orbital mechanics accuracy, and code maintainability to accelerate SpaceTrack workflows and analytics readiness. Delivered robust SpaceTrack query ingestion with rate-limit awareness and URL-based query support, introduced Newton-Raphson mean anomaly conversions for better orbital calculations, and reduced technical debt through targeted refactoring and improved testing. These improvements enhance data integrity, enable direct ingestion of URL-built queries, and streamline CI for remote-data validation, delivering measurable business value and scalable maintainability.
February 2026
January 2026
26 Commits • 9 Features
Jan 1, 2026January 2026 focused on stabilizing core data processing in tudatpy, improving query reliability, documentation quality, test readiness, and MPC integration. Key work delivered robust discos query functionality supporting queries by discos_id and norad_id, comprehensive and compliant docstrings across modules, expanded unit tests with discos coverage, VFCC17 weighting logic fixes with corrected date handling, and MPC time variable refactor with updated parsers and new MPC stations. Plotting safety improvements for plot_observations_sky, including handling of safe epochs and improved colorbar ticks, were also implemented. These changes collectively improve data accuracy, developer productivity, and CI reliability across the project.
January 2026
26 Commits • 9 Features
Jan 1, 2026January 2026 focused on stabilizing core data processing in tudatpy, improving query reliability, documentation quality, test readiness, and MPC integration. Key work delivered robust discos query functionality supporting queries by discos_id and norad_id, comprehensive and compliant docstrings across modules, expanded unit tests with discos coverage, VFCC17 weighting logic fixes with corrected date handling, and MPC time variable refactor with updated parsers and new MPC stations. Plotting safety improvements for plot_observations_sky, including handling of safe epochs and improved colorbar ticks, were also implemented. These changes collectively improve data accuracy, developer productivity, and CI reliability across the project.
December 2025
16 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary for tudatpy focused on delivering robust data ingestion improvements, reducing external dependencies, and strengthening test coverage. The completed work improves data reliability for MPC observations, reduces external API load, and enhances file management and performance for downstream workflows.
16 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary for tudatpy focused on delivering robust data ingestion improvements, reducing external dependencies, and strengthening test coverage. The completed work improves data reliability for MPC observations, reduces external API load, and enhances file management and performance for downstream workflows.
December 2025
November 2025
20 Commits • 7 Features
Nov 1, 2025November 2025 focused on strengthening data parsing reliability, improving data retrieval performance, and laying groundwork for scalable orbital analysis. Delivered a new 80-column MPC parser submodule with Roman numeral labeling, standardized identifiers across utilities, enhanced SpaceTrackQuery with caching and robust error handling, aligned Horizons wrapper with the latest API, and introduced orbital regime utilities, while boosting maintainability with type hints and test hygiene.
November 2025
20 Commits • 7 Features
Nov 1, 2025November 2025 focused on strengthening data parsing reliability, improving data retrieval performance, and laying groundwork for scalable orbital analysis. Delivered a new 80-column MPC parser submodule with Roman numeral labeling, standardized identifiers across utilities, enhanced SpaceTrackQuery with caching and robust error handling, aligned Horizons wrapper with the latest API, and introduced orbital regime utilities, while boosting maintainability with type hints and test hygiene.
October 2025
46 Commits • 10 Features
Oct 1, 2025Month: 2025-10 TudatPy development focused on API enhancements, parser robustness, and test coverage, delivering business value through more usable Horizons API, reliable 80-column data parsing, and stronger testing foundations. The work spanned Horizons Wrapper improvements, a robust 80-column parser (core and unit tests), and foundational project scaffolding, underpinned by targeted bug fixes to improve stability and cross-platform compatibility across the TudatPy repository.
46 Commits • 10 Features
Oct 1, 2025Month: 2025-10 TudatPy development focused on API enhancements, parser robustness, and test coverage, delivering business value through more usable Horizons API, reliable 80-column data parsing, and stronger testing foundations. The work spanned Horizons Wrapper improvements, a robust 80-column parser (core and unit tests), and foundational project scaffolding, underpinned by targeted bug fixes to improve stability and cross-platform compatibility across the TudatPy repository.
October 2025
September 2025
1 Commits
Sep 1, 2025In September 2025, Tudatpy contributions focused on hardening the data download pipeline to improve reliability and reduce failure modes. A targeted bug fix was implemented to ensure local directories exist before saving downloaded files, preventing errors during data downloads and increasing robustness of the data ingestion workflow. The change simplifies downstream data handling and lowers the risk of interrupted data pipelines. Overall, the work enhances stability of automated downloads and supports more predictable data availability for analyses and downstream systems. This period demonstrates strong debugging, Python I/O proficiency, and effective Git-based issue resolution within Tudatpy.
September 2025
1 Commits
Sep 1, 2025In September 2025, Tudatpy contributions focused on hardening the data download pipeline to improve reliability and reduce failure modes. A targeted bug fix was implemented to ensure local directories exist before saving downloaded files, preventing errors during data downloads and increasing robustness of the data ingestion workflow. The change simplifies downstream data handling and lowers the risk of interrupted data pipelines. Overall, the work enhances stability of automated downloads and supports more predictable data availability for analyses and downstream systems. This period demonstrates strong debugging, Python I/O proficiency, and effective Git-based issue resolution within Tudatpy.
August 2025
8 Commits • 3 Features
Aug 1, 2025Month 2025-08 highlights for tudatpy: Delivered core data access enhancements, extended simulation capabilities with weather data, and enhanced mission data downloader. Emphasis on modular data access, robust data formats, and cleaner initialization to improve usability and maintainability across the TudatPy ecosystem.
8 Commits • 3 Features
Aug 1, 2025Month 2025-08 highlights for tudatpy: Delivered core data access enhancements, extended simulation capabilities with weather data, and enhanced mission data downloader. Emphasis on modular data access, robust data formats, and cleaner initialization to improve usability and maintainability across the TudatPy ecosystem.
August 2025
July 2025
10 Commits • 5 Features
Jul 1, 2025July 2025 Tudatpy: Focused on maintainability, onboarding, and data integration to enable reliable orbital dynamics simulations. Key features delivered include: Tudatpy Examples Refactor and Build Cleanup; Expose Tudatpy Examples in Repository; Documentation and Onboarding Improvements; TLE Data Access and Download Utilities; Submodule Alignment and Environment File Renaming. There were no major bugs fixed this month; the work emphasizes maintainability, reliability, and contributor productivity. Overall impact: reduced setup friction, faster onboarding, and reinforced production readiness with DISCOS/Space-Track data sources. Demonstrated technologies and skills: CMake build improvements, Python Tudatpy modularization, submodule alignment, environment/versioning standardization, and data integration workflows.
July 2025
10 Commits • 5 Features
Jul 1, 2025July 2025 Tudatpy: Focused on maintainability, onboarding, and data integration to enable reliable orbital dynamics simulations. Key features delivered include: Tudatpy Examples Refactor and Build Cleanup; Expose Tudatpy Examples in Repository; Documentation and Onboarding Improvements; TLE Data Access and Download Utilities; Submodule Alignment and Environment File Renaming. There were no major bugs fixed this month; the work emphasizes maintainability, reliability, and contributor productivity. Overall impact: reduced setup friction, faster onboarding, and reinforced production readiness with DISCOS/Space-Track data sources. Demonstrated technologies and skills: CMake build improvements, Python Tudatpy modularization, submodule alignment, environment/versioning standardization, and data integration workflows.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary focusing on delivering high-impact features and stabilizing the kernel workflow for tudatpy.
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary focusing on delivering high-impact features and stabilizing the kernel workflow for tudatpy.
June 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Completed foundational time-type standardization across TudatPy to ensure consistent time handling and improve reliability of time-based computations. Replaced TIME_TYPE and INTERPOLATOR_TIME_TYPE macros from double to tudat::Time, aligning TudatPy with Tudat core time representation. This refactor reduces time-type mismatches, simplifies testing, and prepares the codebase for future enhancements. Commit: a64d6a9fdf7a8382ae442651d1f9c45ca9c5efec (Pulling from Develop).
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Completed foundational time-type standardization across TudatPy to ensure consistent time handling and improve reliability of time-based computations. Replaced TIME_TYPE and INTERPOLATOR_TIME_TYPE macros from double to tudat::Time, aligning TudatPy with Tudat core time representation. This refactor reduces time-type mismatches, simplifies testing, and prepares the codebase for future enhancements. Commit: a64d6a9fdf7a8382ae442651d1f9c45ca9c5efec (Pulling from Develop).
March 2025
10 Commits • 4 Features
Mar 1, 2025March 2025 achieved significant technical deliveries and reliability improvements for tudatpy, focusing on data access, geospatial utilities, ground station workflows, and gravity field parameterization. These changes streamline satellite data processing, improve spatial calculations, and stabilize MPC observations integration, delivering measurable business value for mission planning and analysis.
10 Commits • 4 Features
Mar 1, 2025March 2025 achieved significant technical deliveries and reliability improvements for tudatpy, focusing on data access, geospatial utilities, ground station workflows, and gravity field parameterization. These changes streamline satellite data processing, improve spatial calculations, and stabilize MPC observations integration, delivering measurable business value for mission planning and analysis.
March 2025
February 2025
10 Commits • 7 Features
Feb 1, 2025February 2025 TudatPy monthly summary focused on delivering robust data access and parsing capabilities across tudatpy, driving reliability and reusability in mission data workflows. Highlights include targeted enhancements to MEX mission data downloads, addition of MRO TNF data download support, improved parsing for mission data with varied date formats and multiple entries, exposure of ground station weather data integration, and consolidation of time type definitions for consistency across subprojects. These efforts collectively reduce data retrieval friction, improve reproducibility, and strengthen the maintainability of the TudatPy codebase.
February 2025
10 Commits • 7 Features
Feb 1, 2025February 2025 TudatPy monthly summary focused on delivering robust data access and parsing capabilities across tudatpy, driving reliability and reusability in mission data workflows. Highlights include targeted enhancements to MEX mission data downloads, addition of MRO TNF data download support, improved parsing for mission data with varied date formats and multiple entries, exposure of ground station weather data integration, and consolidation of time type definitions for consistency across subprojects. These efforts collectively reduce data retrieval friction, improve reproducibility, and strengthen the maintainability of the TudatPy codebase.
January 2025
19 Commits • 4 Features
Jan 1, 2025January 2025: TudatPy development focused on usability, reliability, and API clarity for the Observation module and ground-based capabilities. Key features delivered include a comprehensive Documentation overhaul for the Observation module with usage examples and clarified API references; Ground Station positioning enhancements and observation collection improvements for more accurate, reliable ground-based data; GroundStationSettings API exposure to expose station_name and enforce read-only access for data integrity; and time type standardization across TudatPy consolidating TIME_TYPE/INTERPOLATOR_TIME_TYPE usage to Tudat.Time to reduce ambiguity. Major bug fixes included rolling back to a stable state for data downloading and MPC modules to restore library stability, fixing a minor typo in the ground station exposure function name, and repository cleanup removing unnecessary build artifacts. Overall impact: improved onboarding, API usability, accuracy of ground-based observations, and system stability, enabling faster development cycles and more reliable simulations. Technologies/skills demonstrated: TudatPy Python-C++ bindings, documentation best practices, API design improvements (read-only properties), time type unification, build hygiene, and code review discipline.
19 Commits • 4 Features
Jan 1, 2025January 2025: TudatPy development focused on usability, reliability, and API clarity for the Observation module and ground-based capabilities. Key features delivered include a comprehensive Documentation overhaul for the Observation module with usage examples and clarified API references; Ground Station positioning enhancements and observation collection improvements for more accurate, reliable ground-based data; GroundStationSettings API exposure to expose station_name and enforce read-only access for data integrity; and time type standardization across TudatPy consolidating TIME_TYPE/INTERPOLATOR_TIME_TYPE usage to Tudat.Time to reduce ambiguity. Major bug fixes included rolling back to a stable state for data downloading and MPC modules to restore library stability, fixing a minor typo in the ground station exposure function name, and repository cleanup removing unnecessary build artifacts. Overall impact: improved onboarding, API usability, accuracy of ground-based observations, and system stability, enabling faster development cycles and more reliable simulations. Technologies/skills demonstrated: TudatPy Python-C++ bindings, documentation best practices, API design improvements (read-only properties), time type unification, build hygiene, and code review discipline.
January 2025
December 2024
8 Commits • 2 Features
Dec 1, 2024December 2024 focused on strengthening TudatPy's data handling and mission planning capabilities. Delivered robust mission data downloader enhancements with multi-mission kernel management, introduced a load_kernels toggle, and added API-facing mocks to enable seamless integration and testing. Added a delta-v computation API for escape or capture maneuvers, with accompanying documentation. These efforts improve reliability, scalability, and developer productivity, enabling rapid integration with external workflows and reducing operational risk in mission analysis.
December 2024
8 Commits • 2 Features
Dec 1, 2024December 2024 focused on strengthening TudatPy's data handling and mission planning capabilities. Delivered robust mission data downloader enhancements with multi-mission kernel management, introduced a load_kernels toggle, and added API-facing mocks to enable seamless integration and testing. Added a delta-v computation API for escape or capture maneuvers, with accompanying documentation. These efforts improve reliability, scalability, and developer productivity, enabling rapid integration with external workflows and reducing operational risk in mission analysis.
November 2024
4 Commits • 1 Features
Nov 1, 2024November 2024: Delivered Unified Mission Data Downloader (LoadPDS) with multi-mission support in tudatpy, centralizing data acquisition for space missions (MEX, JUICE, MRO) and extending to Cassini and Titan data. The LoadPDS introduces mission-specific data handling, robust filename parsing, date handling, and dynamic downloads across specified date ranges and mission patterns. Refactored mission_data_downloader.py to broaden mission coverage, improve URL management, file patterns, and date formats; removed unused input parameters to simplify usage. Added comprehensive documentation to support onboarding and maintenance. These changes reduce manual data collection effort, improve data reliability, and enable easier addition of new missions, accelerating research workflows and deployment readiness for downstream simulations and analyses.
4 Commits • 1 Features
Nov 1, 2024November 2024: Delivered Unified Mission Data Downloader (LoadPDS) with multi-mission support in tudatpy, centralizing data acquisition for space missions (MEX, JUICE, MRO) and extending to Cassini and Titan data. The LoadPDS introduces mission-specific data handling, robust filename parsing, date handling, and dynamic downloads across specified date ranges and mission patterns. Refactored mission_data_downloader.py to broaden mission coverage, improve URL management, file patterns, and date formats; removed unused input parameters to simplify usage. Added comprehensive documentation to support onboarding and maintenance. These changes reduce manual data collection effort, improve data reliability, and enable easier addition of new missions, accelerating research workflows and deployment readiness for downstream simulations and analyses.
November 2024
Activity
Loading activity data...
Quality Metrics
Correctness91.4%
Maintainability88.0%
Architecture87.4%
Performance84.0%
AI Usage22.0%
Skills & Technologies
Programming Languages
C++CMakeHTMLJavaScriptMarkdownPythonRSTYAMLreStructuredText
Technical Skills
API DesignAPI DevelopmentAPI IntegrationAPI Reference GenerationAPI integrationAPI testingAstrodynamicsAstronomyAstronomy LibrariesAstropyAtmospheric DataBindingsBug FixBuild SystemBuild System Configuration
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline