openlit
A comprehensive open-source platform for AI Engineering with LLM Observability, Monitoring, and Management
GraphCanon updated 2w · GitHub synced 2w · 32 views this month
Decision brief
Decision-critical facts for OpenLIT are centered around its unique features in LLM observability, GPU monitoring, and extensive integration capabilities.
Good fit when
- When you need comprehensive observability features native to OpenTelemetry, allowing seamless trace and metric management with an out-of-the-box solution.
- If your project involves multiple GPUs or diverse vector databases (50+ integrations), leveraging OpenLIT for unified GPU monitoring and resource management can be highly advantageous.
Avoid when
- If your project strictly requires a proprietary tool or if you have specific requirements that are not covered by OpenLIT's integrations, such as unique vector databases not yet supported.
- When the team lacks the expertise in TypeScript or Python SDK to efficiently manage and implement observability into their current workflows with OpenLIT.
- Pricing:
- freemium
Observed Jul 11, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (2,664) are secondary evidence.
- npm downloads (30d)
- 8,418·npm downloads API·2w
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install openlitHow it fits your stack(13)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
Related
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Integrates with multiple LLM Providers, Vector Databases, Agents, GPUs; supports observability and monitoring tools.
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Aug 1, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Aug 1, 2026
- Languages
- typescript
Source: github.language · Aug 1, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
🚀 Getting Started with LLM Observability
flowchart TB;
subgraph " "
direction LR;
subgraph " "
direction LR;
OpenLIT_SDK[OpenLIT SDK] -->|Sends Traces & Metrics| OTC[OpenTelemetry Collector];
OTC -->|Stores Data| ClickHouseDB[ClickHouse];
end
subgraph " "
direction RL;
OpenLIT_UI[OpenLIT] -->|Pulls Data| ClickHouseDB;
end
end
Step 2: Install OpenLIT SDK
Open your command line or terminal and run:
pip install openlit
For instructions on using the TypeScript SDK, visit the TypeScript SDK Installation guide.
License
OpenLIT is available under the Apache-2.0 license.
For agents
This page has a .md twin and JSON over the API.