Factual package intelligence from PyPI

datacurve-pier 0.3.0 package intelligence

A framework for running coding agents in sandboxed environments and keeping full trajectories for analysis.

pip install datacurve-pier

Current version
0.3.0
Python requirement
>=3.12
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.5 MiB
Release history
3 releases with files
Median release cadence
13 days

datacurve-pier dependencies

PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. anthropic >=0.97.0
  2. anyio >=4.13.0
  3. botocore >=1.43.11
  4. claude-agent-sdk >=0.1.17
  5. daytona >=0.121.0
  6. fastapi >=0.128.0
  7. harbor >=0.5.0
  8. jinja2 >=3.1.0
  9. litellm >=1.83.0
  10. loguru >=0.7.3
  11. mcp >=1.27.0
  12. modal >=1.4.2
  13. pydantic >=2.13.3
  14. python-dotenv >=1.2.2
  15. pyyaml >=6.0.3
  16. rich >=14.3.4
  17. shortuuid >=1.0.13
  18. tenacity >=9.1.4
  19. toml >=0.10.2
  20. typer >=0.12
  21. uvicorn >=0.38.0

Compatibility and release files

datacurve-pier publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.12.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.