y-scope/clp
Compressed Log Processor (CLP) is a free log management tool capable of compressing logs and searching the compressed logs without decompression. observed · 2026-09-01
Health v2 · maintenance only
94/100
- Activity 100
- Release rhythm 82
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 39.0
- age_days: 1920
- days_rel: 42
- days_push: 2
- n_releases_24m: 15
Adoption not part of the score
1083 stars · 92 forks observed · 2026-09-01
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
CLP (Compressed Log Processor) is an open-source log management tool that losslessly compresses JSON and unstructured text logs and enables searching and analytics directly on the compressed data without decompression. It provides an end-to-end pipeline including logging libraries for real-time compression, a web UI for search and viewing, and deployment options from single-node Docker to Kubernetes.
Use cases
- compress large log files without losing data
- search compressed logs without decompressing them
- self-hosted log management alternative to Elasticsearch or Splunk
- real-time log compression from Python or Java logging libraries
- reduce cloud storage costs for petabyte-scale log retention
- analyze and view JSON logs with a web interface
- archive vehicle or edge device logs locally before upload
When to choose
- you need extremely high compression ratios (up to ~169x) on structured or free-text logs
- you want to search logs without paying the decompression or indexing overhead of Elasticsearch or Splunk
- you prefer a self-hosted, schema-free log pipeline with Docker/Kubernetes deployment
- you need real-time compression integrated into existing logging libraries
When to avoid
- you need a fully managed SaaS log platform with alerting and dashboards out of the box
- your logs are small enough that standard tools like grep or gzip suffice
- you rely on ecosystem features like built-in metrics, tracing, or extensive third-party integrations
- you require non-Linux production environments, as CLP targets Linux-based deployments
Facets
application · maturity active
compression search-engine logging analytics web-scraping databases analytics big-data self-hosted cloud python cpp log-management log-compression search-without-decompression json-logs unstructured-logs log-viewer mcp-server presto search devops linux macos docker kubernetes web-server
5 sources
- readme: https://github.com/y-scope/clp · fetched 2026-09-01 · bc5417b58d01
- homepage: https://yscope.com · fetched 2026-08-29 · 274d2872c5e8
- site_page: https://docs.yscope.com/ · fetched 2026-08-29 · badb6d7dd75d
- site_page: https://yscope.com/about-us · fetched 2026-08-29 · 30f470b866a7
- site_page: https://yscope.com/legal/privacyfaq · fetched 2026-08-29 · 5c0911913186
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| y-scope/clp | main | 94 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem