Who is ragbits-evaluate for?

ragbits-evaluate is an open-source project built for AI developers and researchers.

Does ragbits-evaluate have a free plan?

Yes — ragbits-evaluate is open source under the MIT license and free to use.

What platforms does ragbits-evaluate run on?

ragbits-evaluate runs on the web and the command line. It can also be self-hosted.

Is ragbits-evaluate still active?

The GitHub repository shows 24 commits in the last 90 days.

What projects are similar to ragbits-evaluate?

Similar projects tracked by PulseGate include ragbits-cli, ragscore, and ragbits-agents.

Who develops ragbits-evaluate?

ragbits-evaluate is developed by deepsense.ai.

When did ragbits-evaluate launch?

ragbits-evaluate first shipped in 2024.

Back to the index

ragbits-evaluate

Name: ragbits-evaluate
Author: deepsense.ai

PyPIInfrastructure

Evaluation module for Ragbits components

Open SourceMITWebCLISelf-hosted

Visit PyPI

1.6kstars

139forks

5features

2024since

Overview

5 features

ragbits-evaluate sits in PulseGate's LLM evaluation & benchmarks category. It enables developers to evaluate and benchmark RAG and GenAI components in large language model workflows. ragbits-evaluate is an open-source project aimed at AI developers and researchers. The project is open source (MIT). ragbits-evaluate is available on the web and the command line, and it can be self-hosted.

deepsense.ai builds and maintains ragbits-evaluate, and it first shipped in 2024. Development happens publicly on GitHub with 1.6k stars and 24 commits in the last 90 days. Key capabilities include RAG evaluation, LLM component testing, and genAI metrics.

RAG evaluation
LLM component testing
GenAI metrics
CLI interface
Component analysis

Built with & integrations

Runs on

BrowserCLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed17 Jun · 11:59 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about ragbits-evaluate

What does ragbits-evaluate do?: Ragbits-evaluate enables developers to evaluate and benchmark RAG and GenAI components in large language model workflows. It is catalogued under LLM evaluation & benchmarks on PulseGate.
Who is ragbits-evaluate for?: ragbits-evaluate is an open-source project built for AI developers and researchers.
Does ragbits-evaluate have a free plan?: Yes — ragbits-evaluate is open source under the MIT license and free to use.
What platforms does ragbits-evaluate run on?: ragbits-evaluate runs on the web and the command line. It can also be self-hosted.
Is ragbits-evaluate still active?: The GitHub repository shows 24 commits in the last 90 days.
What projects are similar to ragbits-evaluate?: Similar projects tracked by PulseGate include ragbits-cli, ragscore, and ragbits-agents.ragbits-cli ragscore ragbits-agents
Who develops ragbits-evaluate?: ragbits-evaluate is developed by deepsense.ai.
When did ragbits-evaluate launch?: ragbits-evaluate first shipped in 2024.

At a glance

Platforms: CLI
Languages: English
License: MIT
Built for: AI developers and researchers
Model: Open source
Solves: Enables developers to evaluate and benchmark RAG and GenAI components in large language model workflows.

Registered as

PyPI: ragbits-evaluate

Developer

deepsense.ai

Community-driven

Open source

Stars: 1,649
Forks: 139
Open issues: 50
Last commit: 18 May 2026
Commits 90d: 24
Contributors: 45
Authorship: Community-driven
Default branch: main
Latest release: v1.6.2 · 31 Mar 2026

Index record

Indexed: 17 Jun 2026
Lifecycle: Alive
Last seen: 17 Jun 2026

Identity audit (12)

Slug: ragbits-evaluate-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 17 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Recorded source: taxonomy-pass-b.
Summary from: Taken from the package registry entry.
Languages from: Detected by a language model from page content.
Canonical URL: https://pypi.org/project/ragbits-evaluate

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