Explore/framework/data-to-paper
D

Technion-Kishony-lab/data-to-paperAbandoned

data-to-paper: Backward-traceable AI-driven scientific research

frameworkPythonMIT
GitHubCompare
Refreshed 5h ago
OverviewActivity52wAlternativesDocs
Stars818
Forks95
HF Downloads30d
Last commit1y ago
Refreshed5h ago
Project healthAbandonedNo commits in 13 months.
Production readinessExperimentalGrowing but not yet battle-tested at scale.
Risk notesMITVerify license before production use.
AgentHub Score
55 / 100
Composite score from 6 signals. How we score →
Active project
55Score
Growth
92A
Activity
30C
Documentation
50C
Maturity
79B
Community
92A
Production
58C
GitHub stars · 33 days observed818 +0.49% / 30d
snapshots
Repository activity · 33 days observedReal snapshots from pushed_at
inactivepushed
2026-07-262026-08-29
Practical assessment
Should you use it?

✓ Best for

  • Multi-agent orchestration
  • Production agentic workflows
  • Stateful long-running tasks

◎ Strengths

  • Stable API
  • Active release cadence
  • Strong GitHub community

✕ Not ideal for

  • Simple single-step automation
  • Teams without Python/ML expertise

⚠ Watch-outs

  • Breaking changes between minor versions
  • Ecosystem lock-in if tightly coupled
Technical details
What's inside
LanguagePython
LicenseMIT
Sourcegithub
Open source✗ No
Commercial use
Docs
Demo
Paper

AgentHub Score

55
Score 55/100
Below average

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Recent activity

Latest commit 1y ago1y ago
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