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Retention Python Packages

Python packages with the GitHub topic retention. Sorted by monthly downloads, with stars and forks.
crate
cratedb-toolkit

CrateDB Toolkit, an SDK for CrateDB and CrateDB Cloud.

5K 10 5
krzysiek951
django-resurrected

Soft-delete functionality for Django projects with relationship-aware deletion and restoration.

4K 6 0
gordonkjlee
factcat

Open-source alternative to Amplitude and Mixpanel that runs in your own data warehouse — generates SQL, never ingests.

936 0 0
AtomicGlance
metricproof

Python analytics QA package that audits KPI formulas, denominators, cohort integrity, population preservation, and cross-table reconciliation.

896 0 0
brownglasses
dotplot-mcp

Product analytics MCP server for early-stage startups: user behavior analysis, dot plots, aha moment discovery, retention curves, onboarding funnels, churn analysis — YC methodology, works with Claude Code & Cursor

645 1 0
OpenActuarial
ratingmodels

Manual and experience rating, credibility blending, and rate indication with an audit trail; GLM relativities and frequency-severity modeling.

562 1 0
thaolst
growth-mcp

MCP server for growth marketing - campaign design, retention analysis, churn prediction, A/B testing

442 10 2
masc3d
btrfs-sxbackup

Incremental btrfs snapshot backups with push/pull support via SSH

400 119 21
burning-cost
insurance-demand

Deprecated — merged into insurance-optimise

276 0 0
yaroslaff
s3v

Convenient CLI tool to work with versioned AWS S3 buckets

255 0 0
burning-cost
insurance-survival

Survival models for insurance — cure models, CLV, lapse tables, MLflow wrapper

224 0 0
h2cker
langchain-vecr-compress

Deterministic, auditable LLM context compression — regex whitelist guarantees structured facts (IDs, URLs, dates, code) survive. Two layers: retention + heuristic knapsack.

209 0 0
burning-cost
insurance-uplift

HTE uplift modelling for retention — CausalForestDML, Qini/AUUC, PolicyTree, ENBP constraint, Consumer Duty fairness audit

99 0 0
h2cker
vecr-compress

Deterministic, auditable LLM context compression — regex whitelist guarantees structured facts (IDs, URLs, dates, code) survive. Two layers: retention + heuristic knapsack.

73 0 0
h2cker
llama-index-postprocessor-vecr

Deterministic, auditable LLM context compression — regex whitelist guarantees structured facts (IDs, URLs, dates, code) survive. Two layers: retention + heuristic knapsack.

64 0 0
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology