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Comparison

FastEdit vs EasyEdit

Verdict

Pick FastEdit if fastEdit is a Python library for quick edits to large language models using PyTorch; pick EasyEdit if easyEdit is an easy-to-use knowledge editing framework for LLMs tailored to model customization and optimization.

Markdown twin · FastEdit alternatives · EasyEdit alternatives

GraphCanon updated 1w

FastEdit logo

FastEdit

hiyouga/FastEdit

★ 1.4kpushed Aug 13, 2023
vs
EasyEdit logo

EasyEdit

zjunlp/EasyEdit

★ 2.9kpushed Jul 14, 2026

Trust & integrity

SignalFastEditEasyEdit
Maintenance
Dormant (1086d since push)
As of 2w · github_public_v1
Active (24d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · github_public_v1
Not a fork · Organization account
As of 1w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
Published findings
As of 1mo · 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
FastEdit trust reportEasyEdit trust reportTrust methodology

Tagline

FastEdit
Editing large language models within 10 seconds
EasyEdit
Easy-to-use knowledge editing framework for LLMs

Stars

FastEdit
1.4k
EasyEdit
2.9k

Forks

FastEdit
103
EasyEdit
371

Open issues

FastEdit
21
EasyEdit
0

Language

FastEdit
Python
EasyEdit
Jupyter Notebook

Adopt for

FastEdit
FastEdit is a Python library for quick edits to large language models using PyTorch.
EasyEdit
EasyEdit is an easy-to-use knowledge editing framework for LLMs tailored to model customization and optimization.

Persona

FastEdit
-
EasyEdit
-

Runtime

FastEdit
-
EasyEdit
-

License

FastEdit
Apache-2.0
EasyEdit
MIT

Last pushed

FastEdit
Aug 13, 2023
EasyEdit
Jul 14, 2026

Categories

FastEdit
LLM Frameworks
EasyEdit
LLM Frameworks, Model Training

Trust and health

Maintenance

FastEdit
Dormant (18%)
EasyEdit
Active (82%)

Days since push

FastEdit
1086d
EasyEdit
24d

Open issues (now)

FastEdit
21
EasyEdit
0

Owner type

FastEdit
User
EasyEdit
Organization

Full report

FastEdit
Trust report
EasyEdit
Trust report

Shared compatibility

  • Python · FastEdit: Python runtime · EasyEdit: Python runtime

Choose FastEdit if…

  • FastEdit is primarily Python; EasyEdit is Jupyter Notebook.
  • License: FastEdit is Apache-2.0, EasyEdit is MIT.
  • Requirements: Min -1 GB RAM; Requires Python 3.8+ and PyTorch 1.13.1+. Must also install 🤗Transformers, Datasets, Accelerate, sentencepiece, and fire.; Hardware requirements for a specific model can vary; refer to the provided table for minimum RAM sizes for different models..
  • Tags unique to FastEdit: bloom, chatbots, chatgpt, falcon.
  • When rapid iterations on language model edits are necessary, such as testing and tuning with tight feedback loops.

When NOT to use FastEdit

  • If your workflow requires integration with TensorFlow instead of PyTorch, since FastEdit is built on top of PyTorch.
  • For hardware configurations that cannot meet the fast editing mode's requirements; for instance, if you have less than 24GB RAM available.
  • If rapid edits within seconds are not a priority and longer processing times can be tolerated.
GitHubDetails

Choose EasyEdit if…

  • EasyEdit is primarily Jupyter Notebook; FastEdit is Python.
  • License: EasyEdit is MIT, FastEdit is Apache-2.0.
  • Requirements: Installation requires Python 3.9+ and Conda..
  • Tags unique to EasyEdit: artificial-intelligence, knowledge-editing, model-editing, natural-language-processing.
  • Also covers Model Training.
  • EasyEdit ships Docker support for self-hosted deployment.
  • In situations where you need a user-friendly tool for customizing and optimizing large language models.

When NOT to use EasyEdit

  • If your project requires minimal GPU memory usage; tools like AdaLoRA can operate with about 29GB on llama-2-7B, whereas EasyEdit may demand more resources.
  • You require a solution that works exclusively within CPU-only environments without the option to adjust for specific backends via tools such as uv.
GitHubDetails

Explore

FastEdit trust report →EasyEdit trust report →LLM Frameworks category →Model Training category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: FastEdit 1.4k · EasyEdit 2.9k (synced Aug 3, 2026).

Common questions

What is the difference between FastEdit and EasyEdit?
FastEdit: Editing large language models within 10 seconds. EasyEdit: Easy-to-use knowledge editing framework for LLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose FastEdit over EasyEdit?
Choose FastEdit over EasyEdit when FastEdit is primarily Python; EasyEdit is Jupyter Notebook; License: FastEdit is Apache-2.0, EasyEdit is MIT; Requirements: Min -1 GB RAM; Requires Python 3.8+ and PyTorch 1.13.1+. Must also install 🤗Transformers, Datasets, Accelerate, sentencepiece, and fire.; Hardware requirements for a specific model can vary; refer to the provided table for minimum RAM sizes for different models.; Tags unique to FastEdit: bloom, chatbots, chatgpt, falcon; When rapid iterations on language model edits are necessary, such as testing and tuning with tight feedback loops.
When should I choose EasyEdit over FastEdit?
Choose EasyEdit over FastEdit when EasyEdit is primarily Jupyter Notebook; FastEdit is Python; License: EasyEdit is MIT, FastEdit is Apache-2.0; Requirements: Installation requires Python 3.9+ and Conda.; Tags unique to EasyEdit: artificial-intelligence, knowledge-editing, model-editing, natural-language-processing; Also covers Model Training; EasyEdit ships Docker support for self-hosted deployment; In situations where you need a user-friendly tool for customizing and optimizing large language models.
When should I avoid FastEdit?
If your workflow requires integration with TensorFlow instead of PyTorch, since FastEdit is built on top of PyTorch. For hardware configurations that cannot meet the fast editing mode's requirements; for instance, if you have less than 24GB RAM available. If rapid edits within seconds are not a priority and longer processing times can be tolerated.
When should I avoid EasyEdit?
If your project requires minimal GPU memory usage; tools like AdaLoRA can operate with about 29GB on llama-2-7B, whereas EasyEdit may demand more resources. You require a solution that works exclusively within CPU-only environments without the option to adjust for specific backends via tools such as uv.
Is FastEdit or EasyEdit more popular on GitHub?
EasyEdit has more GitHub stars (2,895 vs 1,370). Stars measure visibility, not whether either tool fits your constraints.
Are FastEdit and EasyEdit open source?
Yes - both are open-source projects on GitHub (FastEdit: Apache-2.0, EasyEdit: MIT).
Where can I find alternatives to FastEdit or EasyEdit?
GraphCanon lists graph-backed alternatives at FastEdit alternatives and EasyEdit alternatives (FastEdit markdown twin, EasyEdit 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, FastEdit or EasyEdit?
FastEdit: Dormant. EasyEdit: Active. 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 FastEdit and EasyEdit?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastEdit trust report; EasyEdit trust report.

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