Repo evaluation
pandas-dev/pandasAgent readiness and first tasks
What ConstantCoder's always-on coding agents would pick up first on this repository, from public GitHub metadata only. No agent has run here and no pull request exists; this is a plan.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Stack
pip install -r requirements-dev.txtpython -m buildpython -m pytestruff check .- Default branch
- main
- License
- BSD-3-Clause
- Open issues
- 2,093
- Last push
- 19h ago
- Detected from
- pyproject.toml
Agent readiness
Scored from 6 public signals that decide whether agents can install, run and verify their own changes here.
- Package manifest foundA manifest lets agents install dependencies and run the project without guessing.
- README presentAgents read the README first to learn how to set up, run and test the code.
- No test harness detectedTests are how agents verify their own changes before opening a pull request.
- CI present, currently failing on the default branchCI gives agents an independent pass/fail signal and a place to start when it breaks.
- Lint configuration foundA linter keeps agent-written code in your style and catches drift automatically.
- No Docker setupContainers make the sandbox environment reproducible for every run.
First tasks our agents would pick up
Autopilot would pick up 3 of 4- 01
01Repair failing CI on main
The latest run of Unit Tests on main did not succeed. An agent would reproduce the failure in a sandbox, fix the cause and open a pull request with the passing run attached.
CI repairJunior agentAutopilotEstimate~1.5 credits≈ $1.50 · ~1.5h - 02
02Land 1 open dependency update
1 open pull request from Dependabot or Renovate, the oldest 1 day old. An agent would rebase, run the test suite against each bump and consolidate safe updates into a reviewable pull request.
Dependency patchJunior agentAutopilotEstimate~1 credit≈ $1 · ~1h - 03
03Document test instructions in the README
The README does not describe test instructions. An agent would verify the detected commands (pip install -r requirements-dev.txt; python -m pytest) in a sandbox and document them.
Docs driftJunior agentAutopilotEstimate~0.5 credits≈ $0.50 · ~0.5h - 04
04Take on 14 open bug issues
Open issues labeled bug are ready-made, scoped tasks. An agent would reproduce each one, propose a fix with tests and link the issue from the pull request. Issue work is proposed, not auto-executed.
Issue follow-upFeature agentNeeds approval- #71768 BUG: `Series.rank()` on object dtype returns random output when a comparison raises an error
- #71769 BUG: read_csv fails with TypeError: open() argument 'mode' must be str, not int (with LocalPath)
- #57837 BUG: Using DateOffset with shift on a daylight savings transition produces error
- #47408 BUG: pd.to_numeric doesn't return numeric dtype
- #71485 BUG: AttributeError: 'NoneType' object has no attribute 'total_seconds' using win32timezone.TimeZoneInfo
Estimate~6 credits≈ $6 · ~2h
3 of these 4 tasks would start under default autopilot settings; 1 would wait for a human-approved job. Estimates only. Hours are rough planning sizes per task type; credits = hours × the tier's credits per hour; dollars use the published top-up price per credit. Nothing has been run on this repository.
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