vectordotdev/vector
A high-performance observability data pipeline.
This tool helps Site Reliability Engineers (SREs), DevOps professionals, and platform engineers manage the flow of their observability data. It takes in logs and metrics from various sources and then transforms and routes them to any monitoring or analytics vendor, putting you in control of your data pipeline. This allows for cost reduction and improved data quality across different observability systems.
21,499 stars. Actively maintained with 123 commits in the last 30 days.
Use this if you need to efficiently collect, transform, and route all your system logs and metrics to multiple observability platforms or if you want to switch vendors without reconfiguring your entire data collection system.
Not ideal if you only have a single, simple data source and destination, or if your observability needs are very basic and don't require complex routing or transformations.
Stars
21,499
Forks
2,043
Language
Rust
License
MPL-2.0
Category
Last pushed
Mar 18, 2026
Commits (30d)
123
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/data-engineering/vectordotdev/vector"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Community Discussion
Recent Releases
Related tools
PrefectHQ/prefect
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
growthbook/growthbook
Open Source Feature Flags, Experimentation, and Product Analytics
koopjs/koop
Transform, query, and download geospatial data on the web.
pathwaycom/pathway
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
dagster-io/dagster
An orchestration platform for the development, production, and observation of data assets.