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Open-Source Observability · y-scope

clp

CLP is an open-source log management tool that compresses logs while keeping them searchable without decompression. It handles both JSON and unstructured text logs, offers real-time compression via language-specific libraries, and includes a web UI for search and analytics.

Source: GitHub — github.com/y-scope/clp
1.1k
GitHub stars
91
Forks
C++
Primary language
Apache-2.0
License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

FieldValue
Repositoryy-scope/clp
Ownery-scope
Primary languageC++
LicenseApache-2.0 — OSI-approved
Stars1.1k
Forks91
Open issues444
Latest releasev0.12.0 (2026-04-22)
Last updated2026-07-07
Sourcehttps://github.com/y-scope/clp

What clp is

C++ implementation providing index-less log compression with search capabilities across JSON and unstructured formats. Includes logging libraries for Python and Java (Log4j1/2, Logback), IR-based compression intermediate representation, custom pushdown-automata log parser, and Python/Go analysis libraries.

Quickstart

Get the clp source

Clone the repository and explore it locally.

terminalbash
git clone https://github.com/y-scope/clp.gitcd clp# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

High-volume log storage cost reduction

Organizations logging terabytes of unstructured or JSON data can reduce storage footprint significantly. Real-time compression via CLP logging libraries means compressed logs are written to disk, lowering operational overhead.

Log search without indexing overhead

Teams wanting searchable logs without the memory and disk costs of traditional indexing (Elasticsearch, Splunk). CLP's index-less design trades CPU for storage, suitable when compression ratio and storage costs dominate.

In-application logging with compression

Java and Python applications can embed CLP logging appenders/handlers to compress logs at source before transmission or disk write, reducing bandwidth and storage in distributed systems.

Implementation considerations

  • C++ core requires compilation; prebuilt containers and release packages available to reduce build complexity. Evaluate build toolchain compatibility with your CI/CD.
  • Real-time compression libraries exist for Python and Java (Log4j1/2, Logback) but not Go, Node.js, or .NET. Multi-language logging environments will require custom IR integration or post-hoc compression.
  • IR intermediate representation offers higher compression than archive format but trades memory buffering. Tuning compression strategy (IR vs. archives) depends on latency vs. ratio trade-offs.
  • Open issues count (444) and active development (latest release April 2026, last push July 2026) suggest ongoing feature work; stability acceptable for new deployments but review release notes for breaking changes.
  • Web UI and analytics included but integration with existing monitoring/alerting stacks (Datadog, New Relic, Prometheus) not explicitly documented. Plan custom API integration if needed.

When to avoid it — and what to weigh

  • Need sub-second search latency at scale — Index-less design means search performance depends on scanning compressed archives. Traditional index-based tools (Elasticsearch, Splunk) provide faster query response on large datasets.
  • Windows-only deployment — No explicit Windows support mentioned. Primary deployment targets appear to be Linux and containerized environments.
  • Require built-in authentication and multi-tenancy — No details provided on RBAC, SSO, or tenant isolation. Self-hosted option requires external security orchestration.
  • Need managed SaaS offering — CLP is self-hosted only. No commercial managed service is mentioned; you must operate infrastructure yourself.

License & commercial use

Apache License 2.0 (Apache-2.0). Permissive OSI-approved license allowing commercial use, modification, and distribution with attribution and liability limitations.

Apache-2.0 is a permissive license compatible with commercial use. You may use CLP in proprietary products, charge customers, and modify source code. Retain license headers and provide copies of license. No vendor lock-in or royalty obligations. Review your legal team's interpretation if bundling with closed-source components.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

SignalAssessment
MaintenanceActive
DocumentationAdequate
License clarityClear
Deployment complexityModerate
DEV.co fitGood
Assessment confidenceHigh
Security considerations

Threat model and security audit status unknown. Self-hosted deployment requires securing web UI (HTTPS, authentication), database/storage backend, and network access. No mention of encryption at rest, in-transit encryption (TLS), or secrets management in provided data. Recommend review of source code and deployment hardening guides before handling sensitive logs.

Alternatives to consider

Elasticsearch

Index-based search with faster query latency. Higher storage cost and operational complexity. Supports JSON and text logs; widely adopted.

Splunk

Enterprise log management with rich analytics, alerting, and SIEM integration. Significantly higher licensing cost. Index-heavy; better latency than CLP.

Datadog Log Management

Managed SaaS with no infrastructure burden, integrated APM/monitoring, and strong support. Higher per-GB cost. Good fit if operational simplicity outweighs spend.

Software development agency

Build on clp with DEV.co software developers

Evaluate CLP's compression and index-less search for your log volume. Download a release package, test with sample logs, or join the community on Discord for guidance.

Talk to DEV.co

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clp FAQ

How much compression ratio can I expect?
README shows benchmarks on JSON and unstructured logs compared to other tools, but specific ratios depend on log format and dataset. Academic papers (2021, 2024 OSDI) contain methodology. Test with your log samples before committing.
Can I search logs without decompressing them?
Yes, that is CLP's core feature. Search operates on compressed archives and IR without full decompression, reducing latency vs. traditional decompress-then-search workflows.
Do I have to use CLP's logging libraries?
No. CLP can compress raw log files post-hoc. Libraries (Python, Log4j1/2, Logback) enable real-time compression at source, reducing write I/O. They are optional but recommended for cost/performance.
Is there a managed/SaaS version?
Not mentioned in provided data. CLP is self-hosted. An Uber Engineering Blog references their internal use; no public commercial offering documented.

Custom software development services

From first prototype to production, DEV.co delivers software development services around tools like clp. Our software development agency staffs experienced software developers and web developers for custom software development, web development, integrations, and ongoing support across open-source observability and beyond.

Ready to reduce log storage costs?

Evaluate CLP's compression and index-less search for your log volume. Download a release package, test with sample logs, or join the community on Discord for guidance.