Home/Compare/PHUDGE vs Made-With-ML

Comparison

PHUDGE vs Made-With-ML

Verdict

Pick PHUDGE when tags unique to PHUDGE: ai, custom-dataset, evaluation, feedback-collection; pick Made-With-ML when tags unique to Made-With-ML: data-engineering, data-quality, data-science, deep-learning.

Markdown twin · PHUDGE alternatives · Made-With-ML alternatives

GraphCanon updated today

PHUDGE logo

PHUDGE

deshwalmahesh/PHUDGE

53pushed Jul 10, 2024
vs
Made-With-ML logo

Made-With-ML

GokuMohandas/Made-With-ML

49kpushed Mar 4, 2026

Trust & integrity

SignalPHUDGEMade-With-ML
Maintenance
Dormant (734d since push)
As of today · github_public_v1
Slowing (132d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
Published findings
As of today · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

PHUDGE
Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute, relative and much more. It contains a list of all the availab
Made-With-ML
Learn how to develop, deploy and iterate on production-grade ML applications.

Stars

PHUDGE
53
Made-With-ML
49k

Forks

PHUDGE
7
Made-With-ML
7.7k

Open issues

PHUDGE
1
Made-With-ML
27

Language

PHUDGE
Jupyter Notebook
Made-With-ML
Jupyter Notebook

Adopt for

PHUDGE
-
Made-With-ML
-

Persona

PHUDGE
-
Made-With-ML
-

Runtime

PHUDGE
-
Made-With-ML
-

License

PHUDGE
-
Made-With-ML
MIT

Last pushed

PHUDGE
Jul 10, 2024
Made-With-ML
Mar 4, 2026

Categories

PHUDGE
Inference & Serving, LLM Frameworks, Model Training
Made-With-ML
AI Agents, LLM Frameworks, Model Training

Trust and health

Maintenance

PHUDGE
Dormant (18%)
Made-With-ML
Slowing (36%)

Days since push

PHUDGE
734d
Made-With-ML
132d

Open issues (now)

PHUDGE
1
Made-With-ML
27

OSV dependency advisories

PHUDGE
No lockfile (source not queried)
Made-With-ML
Published findings

Full report

Made-With-ML
Trust report

Shared compatibility

  • Python · PHUDGE: Python runtime · Made-With-ML: Python runtime

Choose PHUDGE if…

  • Tags unique to PHUDGE: ai, custom-dataset, evaluation, feedback-collection.
  • Also covers Inference & Serving.
  • Leaner open-issue backlog (1).

When NOT to use PHUDGE

  • Last GitHub push was 734 days ago (dormant maintenance, Jul 10, 2024). Validate activity before betting a new project on PHUDGE.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Choose Made-With-ML if…

  • Tags unique to Made-With-ML: data-engineering, data-quality, data-science, deep-learning.
  • Also covers AI Agents.
  • More GitHub stars (49k vs 53) - visibility, not fit.

When NOT to use Made-With-ML

  • Last GitHub push was 132 days ago (slowing maintenance, Mar 4, 2026). Validate activity before betting a new project on Made-With-ML.
  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: PHUDGE 53 · Made-With-ML 49k (synced Jul 15, 2026).

Common questions

What is the difference between PHUDGE and Made-With-ML?
PHUDGE: Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute, relative and much more. It contains a list of all the availab. Made-With-ML: Learn how to develop, deploy and iterate on production-grade ML applications.. See the comparison table for live GitHub stats and shared categories.
When should I choose PHUDGE over Made-With-ML?
Choose PHUDGE over Made-With-ML when Tags unique to PHUDGE: ai, custom-dataset, evaluation, feedback-collection; Also covers Inference & Serving; Leaner open-issue backlog (1).
When should I choose Made-With-ML over PHUDGE?
Choose Made-With-ML over PHUDGE when Tags unique to Made-With-ML: data-engineering, data-quality, data-science, deep-learning; Also covers AI Agents; More GitHub stars (49k vs 53) - visibility, not fit.
When should I avoid PHUDGE?
Last GitHub push was 734 days ago (dormant maintenance, Jul 10, 2024). Validate activity before betting a new project on PHUDGE. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
When should I avoid Made-With-ML?
Last GitHub push was 132 days ago (slowing maintenance, Mar 4, 2026). Validate activity before betting a new project on Made-With-ML. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Is PHUDGE or Made-With-ML more popular on GitHub?
Made-With-ML has more GitHub stars (48,703 vs 53). Stars measure visibility, not whether either tool fits your constraints.
Are PHUDGE and Made-With-ML open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to PHUDGE or Made-With-ML?
GraphCanon lists graph-backed alternatives at PHUDGE alternatives and Made-With-ML alternatives (PHUDGE markdown twin, Made-With-ML markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, PHUDGE or Made-With-ML?
PHUDGE: Dormant. Made-With-ML: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for PHUDGE and Made-With-ML?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: PHUDGE trust report; Made-With-ML trust report.

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