Home/Compare/coder_reviewer_reranking vs self-repair

Comparison

coder_reviewer_reranking vs self-repair

Verdict

Pick coder_reviewer_reranking if coder_reviewer_reranking is specialized for reranking generated code snippets based on predefined criteria to improve their quality and reliability; pick self-repair if self-repair provides tools to replicate research experiments on code generation systems self-reparation techniques.

Markdown twin · coder_reviewer_reranking alternatives · self-repair alternatives

GraphCanon updated 2w

coder_reviewer_reranking logo

coder_reviewer_reranking

facebookresearch/coder_reviewer_reranking

45pushed Feb 14, 2023
vs
self-repair logo

self-repair

theoxo/self-repair

15pushed May 2, 2024

Trust & integrity

Signalcoder_reviewer_rerankingself-repair
Maintenance
Archived (1267d since push)
As of 2w · github_public_v1
Archived (825d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Personal account
As of 2w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
No published findings from this source as of 2026-07-11
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

Tagline

coder_reviewer_reranking
Official code for paper on Coder Reviewer Reranking in Code Generation
self-repair
Supports research on self-repair mechanisms for code generation

Stars

coder_reviewer_reranking
45
self-repair
15

Forks

coder_reviewer_reranking
9
self-repair
3

Open issues

coder_reviewer_reranking
1
self-repair
1

Language

coder_reviewer_reranking
Python
self-repair
Python

Adopt for

coder_reviewer_reranking
coder_reviewer_reranking is specialized for reranking generated code snippets based on predefined criteria to improve their quality and reliability.
self-repair
Self-repair provides tools to replicate research experiments on code generation systems self-reparation techniques.

Persona

coder_reviewer_reranking
-
self-repair
-

Runtime

coder_reviewer_reranking
-
self-repair
-

License

coder_reviewer_reranking
Other license
self-repair
-

Last pushed

coder_reviewer_reranking
Feb 14, 2023
self-repair
May 2, 2024

Categories

coder_reviewer_reranking
Developer Tools
self-repair
Developer Tools

Trust and health

Days since push

coder_reviewer_reranking
1267d
self-repair
825d

Owner type

coder_reviewer_reranking
Organization
self-repair
User

OSV dependency advisories

coder_reviewer_reranking
Published findings
self-repair
No published findings from this source as of 2026-07-11

Full report

coder_reviewer_reranking
Trust report
self-repair
Trust report

Shared compatibility

  • Python · coder_reviewer_reranking: Python runtime · self-repair: Python runtime

Choose coder_reviewer_reranking if…

  • Requirements: Min 4 GB RAM; Specifically relies on installing pyminifier which might necessitate reverting setuptools to an older version (57.5.0).; Involves the use of torch==1.12.1, requiring a distribution compatible with your hardware..
  • Tags unique to coder_reviewer_reranking: code generation, data sets, evaluation, reranking.
  • When you need to refine and enhance the output from initial code generation models, such as the OpenAI codex API.

When NOT to use coder_reviewer_reranking

  • When using a different Python version than 3.8.13 as it might result in compatibility issues.
  • If real-time code generation is required, given the setup intricacies and specific dependencies that may affect quick turnaround times.

Choose self-repair if…

  • Tags unique to self-repair: code-repair, experiments replication, python, research-tools.
  • When aiming to replicate specific experimental data from the ICLR 2024 paper on self-repair in code generation
  • More recently updated (last pushed May 2, 2024).

When NOT to use self-repair

  • For creating entirely new datasets or conducting large-scale human studies, as this repository focuses on replicating existing experiments
  • When the internal dependencies or incomplete code functions such as exec_sample in APPS are critical for your application without modification

Explore

Sources

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

GitHub stars on cards: coder_reviewer_reranking 45 · self-repair 15 (synced Aug 5, 2026).

Common questions

What is the difference between coder_reviewer_reranking and self-repair?
coder_reviewer_reranking: Official code for paper on Coder Reviewer Reranking in Code Generation. self-repair: Supports research on self-repair mechanisms for code generation. See the comparison table for live GitHub stats and shared categories.
When should I choose coder_reviewer_reranking over self-repair?
Choose coder_reviewer_reranking over self-repair when Requirements: Min 4 GB RAM; Specifically relies on installing pyminifier which might necessitate reverting setuptools to an older version (57.5.0).; Involves the use of torch==1.12.1, requiring a distribution compatible with your hardware.; Tags unique to coder_reviewer_reranking: code generation, data sets, evaluation, reranking; When you need to refine and enhance the output from initial code generation models, such as the OpenAI codex API.
When should I choose self-repair over coder_reviewer_reranking?
Choose self-repair over coder_reviewer_reranking when Tags unique to self-repair: code-repair, experiments replication, python, research-tools; When aiming to replicate specific experimental data from the ICLR 2024 paper on self-repair in code generation; More recently updated (last pushed May 2, 2024).
When should I avoid coder_reviewer_reranking?
When using a different Python version than 3.8.13 as it might result in compatibility issues. If real-time code generation is required, given the setup intricacies and specific dependencies that may affect quick turnaround times.
When should I avoid self-repair?
For creating entirely new datasets or conducting large-scale human studies, as this repository focuses on replicating existing experiments When the internal dependencies or incomplete code functions such as exec_sample in APPS are critical for your application without modification
Is coder_reviewer_reranking or self-repair more popular on GitHub?
coder_reviewer_reranking has more GitHub stars (45 vs 15). Stars measure visibility, not whether either tool fits your constraints.
Are coder_reviewer_reranking and self-repair open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to coder_reviewer_reranking or self-repair?
GraphCanon lists graph-backed alternatives at coder_reviewer_reranking alternatives and self-repair alternatives (coder_reviewer_reranking markdown twin, self-repair 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, coder_reviewer_reranking or self-repair?
coder_reviewer_reranking: Archived. self-repair: Archived. 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 coder_reviewer_reranking and self-repair?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: coder_reviewer_reranking trust report; self-repair trust report.

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