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togethercomputer/open-data-scientist

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Open AI data scientist agent that automates complex data analysis tasks using the ReAct framework. Execute Python code locally or in the cloud, upload datasets, and generate detailed analytical reports with minimal setup.

active 2025-06-122026-03-30 (UTC)

Partial coverage20,527 / 26,283 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-152026-08-14 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
133
Pushes
3
Pull requests
2
Issues
1
Stars
101
Forks
13

Activity over time

Daily event counts in the loaded window

Line chart, 292 days from 2025-06-12 to 2026-03-30. Pushes: 3 total, peak 2 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 1 total, peak 1 in a day. Comments: 2 total, peak 1 in a day. Stars: 101 total, peak 15 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
vinid7311
nehzux2011

Recent activity

Latest issues, pull requests and releases

  • Issue#20vinid2026-03-26 03:32
    open-data-scientist has a Nerq Trust Score of 80.6/100 — verified badge available
  • Pull request#19nehzux2026-01-10 01:16
  • Issue comment#19nehzux2026-01-10 00:15
    update agents logging for better obeservability
  • Pull request#16vinid2025-06-17 16:23
  • Issue comment#15vinid2025-06-16 22:30
    can not get together.ai api key

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 101 stars here means stars gained during the window, not the repo's star count.