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RSOSTB

PyPIInfrastructure

PulseGate's liveness check found it on 1 Oct 2026; it is registered on PyPI and has been in the index since 1 Oct 2026. How this is checked

RSOSTB is an Apache-2.0 Python package providing an open, weighted, reproducible benchmark for AI and LLM systems. It is intended for researchers and engineers comparing model performance through standardized evaluation and leaderboard-oriented results.

Inferred · not functionally tested

Open SourceApache-2.0CLISelf-hosted
Visit PyPI

Overview

6 features

Purpose: Evaluating AI and LLM systems with a reproducible, weighted benchmark.

Inferred · not functionally tested

Audience: AI researchers and machine learning engineers

Inferred · not functionally tested

Functions: analytics

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org. These links do not verify the individual claims.

RSOSTB is a LLM evaluation & benchmarks project. Inferred · not functionally tested: It focuses on evaluating AI and LLM systems with a reproducible, weighted benchmark. Inferred · not functionally tested: It is built as an open-source project for AI researchers and machine learning engineers. Basis unknown · not verified: RSOSTB is open source under the Apache-2.0 license. Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

It is developed by Rayofire, and it first shipped in 2026. Inferred · not functionally tested: Among its 6 catalogued features are weighted scoring, reproducible benchmarks, and LLM evaluation.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Weighted scoring
  • Reproducible benchmarks
  • LLM evaluation
  • AI system testing
  • Leaderboard results
  • Open-source license

Topics: Inferred · not functionally tested

Tags
llm-benchmarkai-evaluationreproducible-testingweighted-scoring
AI capabilities
Text
Weights: Open

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceFree tier

Indexing history

9

What PulseGate has recorded for this listing

  1. Indexed8 Oct · 05:34 UTC
    RSOSTB seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed8 Oct · 03:42 UTC
    RSOSTB seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  3. Indexed7 Oct · 20:47 UTC
    RSOSTB seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  4. Indexed7 Oct · 17:32 UTC
    RSOSTB seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  5. Indexed7 Oct · 15:07 UTC
    RSOSTB seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  6. Indexed7 Oct · 01:43 UTC
    RSOSTB seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  7. Indexed7 Oct · 01:27 UTC
    RSOSTB seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  8. Indexed7 Oct · 00:39 UTC
    RSOSTB seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  9. Indexed1 Oct · 03:49 UTC
    RSOSTB seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about RSOSTB

What does RSOSTB do?
Inferred · not functionally tested: RSOSTB focuses on evaluating AI and LLM systems with a reproducible, weighted benchmark. It is catalogued under LLM evaluation & benchmarks on PulseGate.
Who should use RSOSTB?
Inferred · not functionally tested: RSOSTB is an open-source project built for AI researchers and machine learning engineers.
Does RSOSTB have a free plan?
Basis unknown · not verified: Yes — RSOSTB is open source under the Apache-2.0 license and free to use.
What platforms does RSOSTB run on?
Basis unknown · not verified: RSOSTB runs on the command line. It can also be self-hosted.
Is RSOSTB still active?
PulseGate's liveness check found it on 1 Oct 2026.
What are alternatives to RSOSTB?
Similar projects tracked by PulseGate include contamcheck, quantdiff, and rerun-bench.contamcheckquantdiffrerun-bench
Who develops RSOSTB?
RSOSTB is developed by Rayofire.
How long has RSOSTB been around?
RSOSTB first shipped in 2026.

Also in LLM evaluation & benchmarks

Same category — not a similarity match