rybbit-io/rybbit
May 2026 – May 2026
1 Month active
Languages Used
JavaScriptTypeScript
Technical Skills
API integrationbackend developmentdata parsingfrontend development
Emilien Bidet
PROFILE
Emilien Bidet
Developed and delivered the Plausible Analytics Data Import feature for the rybbit-io/rybbit repository, expanding the platform’s data ingestion capabilities. This work involved integrating support for importing Plausible analytics via ZIP archives of CSV files, building a client-side PlausibleCsvParser in TypeScript to extract per-day distributions, and implementing a server-side mapper to ensure accurate data transformation. The developer improved reliability by addressing stability issues, refining the data schema, and enhancing synthetic event generation. Comprehensive unit tests were added to maintain data quality. The project leveraged JavaScript and TypeScript, focusing on API integration, backend development, data parsing, and frontend adjustments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,136
Activity Months1
Your Network
31 peopleWork History
May 2026
1 Commits • 1 Features
May 1, 2026Month: 2026-05 | Performance-focused monthly summary for rybbit-io/rybbit. Delivered the Plausible Analytics Data Import feature, expanding data ingestion capabilities and unlocking richer analytics for customers. Implemented end-to-end support for importing Plausible data via ZIP archives of CSVs, integrated into the existing batch import pipeline, and added a client-side PlausibleCsvParser to extract per-day distributions across dimensions (browsers, devices, pages, etc.). A server-side mapper and comprehensive unit tests were added to ensure data quality and maintainability. Additionally, addressed stability and quality gaps in the Plausible path, including fixing an unhandled promise rejection on startImport, improving the parser and mapper, tightening the data schema, and refining synthetic event generation. Minor repository housekeeping included directory renames and frontend/schema adjustments to align with the new import flow. Co-authored contributions reflect cross-team collaboration. Business value: enabled customers to ingest Plausible analytics directly into the platform with higher fidelity (per-day distributions), enabling more accurate dashboards and faster time-to-insight while reducing manual data wrangling. Technical impact: expanded ingestion capabilities, strengthened reliability, and improved test coverage for ongoing maintainability.
1 Commits • 1 Features
May 1, 2026Month: 2026-05 | Performance-focused monthly summary for rybbit-io/rybbit. Delivered the Plausible Analytics Data Import feature, expanding data ingestion capabilities and unlocking richer analytics for customers. Implemented end-to-end support for importing Plausible data via ZIP archives of CSVs, integrated into the existing batch import pipeline, and added a client-side PlausibleCsvParser to extract per-day distributions across dimensions (browsers, devices, pages, etc.). A server-side mapper and comprehensive unit tests were added to ensure data quality and maintainability. Additionally, addressed stability and quality gaps in the Plausible path, including fixing an unhandled promise rejection on startImport, improving the parser and mapper, tightening the data schema, and refining synthetic event generation. Minor repository housekeeping included directory renames and frontend/schema adjustments to align with the new import flow. Co-authored contributions reflect cross-team collaboration. Business value: enabled customers to ingest Plausible analytics directly into the platform with higher fidelity (per-day distributions), enabling more accurate dashboards and faster time-to-insight while reducing manual data wrangling. Technical impact: expanded ingestion capabilities, strengthened reliability, and improved test coverage for ongoing maintainability.
May 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
API integrationbackend developmentdata parsingfrontend development
Repositories Contributed To
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