GraphCanon updated 2w · GitHub synced 2w
193 stars12 forksLast push 1y Python MIT
Decision brief
Adaptive-retrieval is a Python tool designed for data retrieval that features adaptability in its core functionality.
Good fit when
- When you require an adaptable method for data retrieval in your Python project
- Ideal when flexibility is needed to handle varying data retrieval requirements without manual adjustments
Avoid when
- It may not be suitable if a rigid and precisely defined retrieval process is critical
- Avoid using this tool if the environment does not allow for additional setup complexity beyond pip install -r requirements.txt
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (395d since push)
- As of 2w
- Provenance
- Not a fork · Personal account
- As of 2w
- Security (OSV)
- No criticals
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install adaptive-retrievalSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A repository with no description in Python.
Capability facts
- Languages
- python
Source: github.language · Aug 1, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Python runtimePython
Source: README excerpt (regex_v1, Aug 1, 2026)
pip install -r requirements.txtSource link
Tags
README
Installation
pip install -r requirements.txt
For agents
This page has a .md twin and JSON over the API.