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Recall Python Packages

Python packages with the GitHub topic recall. Sorted by monthly downloads, with stars and forks.
fasiha
ebisu

Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)

4K 338 28
Wynelson94
longhand

Lossless local memory for Claude Code. The full, unabbreviated version. Every tool call, every file edit, every thinking block — stored verbatim on your machine. Persistent memory without tokens.

2K 15 4
eminsk
nanorecall

100% Private, Zero-Cloud, Bare-Metal Desktop Memory & Screen Search Engine, Native MCP Server (nanorecall-mcp).

2K 1 0
clovaai
prdc

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

2K 275 28
AstraZeneca
rexmex

A general purpose recommender metrics library for fair evaluation.

1K 277 24
mi2arun
ragbisect

Stage-by-stage diagnostics for RAG pipelines: builds its own eval set, scores retrieval and ranking separately, tells you which stage is the bottleneck.

752 0 0
kovalp
binary-classification-ratios

Binary classification ratios gathered in one package.

345 0 0
gykovacs
mlscorecheck

Testing the consistency of binary classification performance scores reported in papers

133 12 0
grooverLab
fable-recall

High-fidelity transcript memory for Claude Code — index every session, recall byte-identical, search, prune, compose. Local-first, stdlib-only, MCP.

87 16 4
felixchaos
gram-recall

Zero-embedding CJK keyword recall: rare-gram scoring for long chat histories and event logs, no vector DB required

86 0 0
grooverLab
headbutt

High-fidelity transcript memory for Claude Code — index every session, recall byte-identical, search, prune, compose. Local-first, stdlib-only, MCP.

77 16 4
sukhbinder
winlog

A tiny app to log the active Windows title to a desktop log file in a windows system

75 1 0
grooverLab
memcall

High-fidelity transcript memory for Claude Code — index every session, recall byte-identical, search, prune, compose. Local-first, stdlib-only, MCP.

67 16 4
crypdick
precision-recall-gain

Precision-recall-gain metrics for Python with a sklearn API.

63 5 0
eonu
daze

Better multi-class confusion matrix plots for Scikit-Learn, incorporating per-class and overall evaluation measures.

60 5 0
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology