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dataforge-07-evals

PyPI·Infrastructure

dataforge-07-evals is an open-source CLI tool for evaluating and benchmarking data-quality repair agents. It provides an agent-agnostic framework for running standardized tests and benchmarks on data repair workflows, aimed at data scientists and researchers.

Open SourceApache-2.0CLISelf-hosted
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Overview

5 features

dataforge-07-evals sits in PulseGate's LLM eval & observability category. It focuses on evaluating and benchmarking data-quality repair agents in a standardized, agent-agnostic way. It is built as an open-source project for data scientists. dataforge-07-evals is open source under the Apache-2.0 license. dataforge-07-evals is available on the command line, and it can be self-hosted.

Behind dataforge-07-evals is Aegis15, and it first shipped in 2026. Development happens publicly on GitHub with 97 commits in the last 90 days. Among its 5 catalogued features are evaluation harness, data-quality benchmarks, and agent-agnostic.

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

  • ✓Evaluation harness
  • ✓Data-quality benchmarks
  • ✓Agent-agnostic
  • ✓Open source
  • ✓CLI tool
Tags
data-qualityagent-evaluationbenchmarking
AI capabilities
Structured

Built with & integrations

Framework
FastAPI
AI providers
local_oss
Runs on
CLISelf-hosted

Trust & compliance

License
Apache-2.0
Verified signals
✓HTTPS✓Open Source✓Free tier✓GitHub✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed30 Jun · 15:18 UTC
    dataforge-07-evals verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about dataforge-07-evals

What is dataforge-07-evals?
Dataforge-07-evals focuses on evaluating and benchmarking data-quality repair agents in a standardized, agent-agnostic way. It is catalogued under LLM eval & observability on PulseGate.
Who is dataforge-07-evals for?
dataforge-07-evals is an open-source project built for data scientists.
Is dataforge-07-evals free?
Yes — dataforge-07-evals is open source under the Apache-2.0 license and free to use.
What platforms does dataforge-07-evals run on?
dataforge-07-evals runs on the command line. It can also be self-hosted.
Is dataforge-07-evals still maintained?
The GitHub repository shows 97 commits in the last 90 days.
What are alternatives to dataforge-07-evals?
Similar projects tracked by PulseGate include constraintloop, trajectory-judge, and COHESION.constraintlooptrajectory-judgeCOHESION
Who makes dataforge-07-evals?
dataforge-07-evals is developed by Aegis15.
How long has dataforge-07-evals been around?
dataforge-07-evals first shipped in 2026.

At a glance

Platforms
Cli
Languages
English
Open source
Yes (GitHub)
License
Apache-2.0
Built for
data scientists
Model
Open source
Solves
Evaluating and benchmarking data-quality repair agents in a standardized, agent-agnostic way.

Registered as

GitHub
Aegis15/dataforge
PyPI
dataforge-07-evals

Developer

Aegis15
Small team
↗ GitHub

Open source

View on GitHub →
Stars
0
Forks
0
Open issues
0
Last commit
29 Jun 2026
Commits 90d
97
Contributors
3
Authorship
Small team
Default branch
main

Live coverage

Identity confidence
Low · 64
Indexed
30 Jun 2026
Lifecycle
Unverified
Last seen
30 Jun 2026
Identity audit (12)
Slug
dataforge-07-evals-pypi-org
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
30 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
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
30 Jun 2026
Canonical URL
https://pypi.org/project/dataforge-07-evals

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