Ross ROSS = Recommend OSS · open-source software intelligence for agents

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

github.com/y-scope/clp · homepage · C++ · Apache-2.0 (permissive) 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
y-scope/clpmain94

For agents

markdown · JSON · MCP: product_card(name="y-scope/clp")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem