Home/Compare/DeepSeek-Reasonix vs self-repair

Comparison

DeepSeek-Reasonix vs self-repair

Verdict

Pick DeepSeek-Reasonix if deepSeek-Reasonix is a real-time AI coding assistant that operates seamlessly within the terminal due to its focus on prefix-cache stability, making continuous operation smooth and reliable; pick self-repair if self-repair provides tools to replicate research experiments on code generation systems self-reparation techniques.

Markdown twin · DeepSeek-Reasonix alternatives · self-repair alternatives

GraphCanon updated 1w

DeepSeek-Reasonix logo

DeepSeek-Reasonix

esengine/DeepSeek-Reasonix

35kpushed Aug 16, 2026
vs
self-repair logo

self-repair

theoxo/self-repair

15pushed May 2, 2024

Trust & integrity

SignalDeepSeek-Reasonixself-repair
Maintenance
Very active (0d since push)
As of 1w · github_public_v1
Archived (825d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Personal account
As of 1w · github_public_v1
Not a fork · Personal account
As of 2w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
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

DeepSeek-Reasonix
DeepSeek-native AI coding agent for your terminal.
self-repair
Supports research on self-repair mechanisms for code generation

Stars

DeepSeek-Reasonix
35k
self-repair
15

Forks

DeepSeek-Reasonix
2.3k
self-repair
3

Open issues

DeepSeek-Reasonix
1.4k
self-repair
1

Language

DeepSeek-Reasonix
Go
self-repair
Python

Adopt for

DeepSeek-Reasonix
DeepSeek-Reasonix is a real-time AI coding assistant that operates seamlessly within the terminal due to its focus on prefix-cache stability, making continuous operation smooth and reliable.
self-repair
Self-repair provides tools to replicate research experiments on code generation systems self-reparation techniques.

Persona

DeepSeek-Reasonix
-
self-repair
-

Runtime

DeepSeek-Reasonix
-
self-repair
-

License

DeepSeek-Reasonix
Licensed under MIT, offering wide usage freedoms provided users comply with its terms regarding redistribution and modification without warranty.
self-repair
-

Last pushed

DeepSeek-Reasonix
Aug 16, 2026
self-repair
May 2, 2024

Categories

DeepSeek-Reasonix
AI Agents, Developer Tools
self-repair
Developer Tools

Trust and health

Maintenance

DeepSeek-Reasonix
Very active (96%)
self-repair
Archived (8%)

Days since push

DeepSeek-Reasonix
0d
self-repair
825d

Archived on GitHub

DeepSeek-Reasonix
No
self-repair
Yes

Open issues (now)

DeepSeek-Reasonix
1.4k
self-repair
1

Stars delta

DeepSeek-Reasonix
+7.5k (30d)
self-repair
Unknown

Open issues delta

DeepSeek-Reasonix
+202 (30d)
self-repair
Unknown

OSV dependency advisories

DeepSeek-Reasonix
No lockfile (source not queried)
self-repair
No published findings from this source as of 2026-07-11

Full report

DeepSeek-Reasonix
Trust report
self-repair
Trust report

Choose DeepSeek-Reasonix if…

  • DeepSeek-Reasonix is primarily Go; self-repair is Python.
  • Requirements: Ensure your terminal environment supports continuous processes for leveraging the full benefits of DeepSeek-Reasonix..
  • Tags unique to DeepSeek-Reasonix: agent-framework, ai-coding, cli, coding-agent.
  • Also covers AI Agents.
  • - When your project heavily relies on continuous presence in the terminal for coding tasks

When NOT to use DeepSeek-Reasonix

  • - Avoid if your environment isn't conducive to long-running processes in the terminal, potentially leading to performance issues unrelated to DeepSeek-Reasonix itself but due to environmental factors
  • - If you are not looking for a tool integrated closely with the Go language ecosystem and prefer broader support or different programming languages

Choose self-repair if…

  • self-repair is primarily Python; DeepSeek-Reasonix is Go.
  • 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

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: DeepSeek-Reasonix 35k · self-repair 15 (synced Aug 16, 2026).

Common questions

What is the difference between DeepSeek-Reasonix and self-repair?
DeepSeek-Reasonix: DeepSeek-native AI coding agent for your terminal.. 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 DeepSeek-Reasonix over self-repair?
Choose DeepSeek-Reasonix over self-repair when DeepSeek-Reasonix is primarily Go; self-repair is Python; Requirements: Ensure your terminal environment supports continuous processes for leveraging the full benefits of DeepSeek-Reasonix.; Tags unique to DeepSeek-Reasonix: agent-framework, ai-coding, cli, coding-agent; Also covers AI Agents; - When your project heavily relies on continuous presence in the terminal for coding tasks.
When should I choose self-repair over DeepSeek-Reasonix?
Choose self-repair over DeepSeek-Reasonix when self-repair is primarily Python; DeepSeek-Reasonix is Go; 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.
When should I avoid DeepSeek-Reasonix?
- Avoid if your environment isn't conducive to long-running processes in the terminal, potentially leading to performance issues unrelated to DeepSeek-Reasonix itself but due to environmental factors - If you are not looking for a tool integrated closely with the Go language ecosystem and prefer broader support or different programming languages
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 DeepSeek-Reasonix or self-repair more popular on GitHub?
DeepSeek-Reasonix has more GitHub stars (34,643 vs 15). Stars measure visibility, not whether either tool fits your constraints.
Are DeepSeek-Reasonix and self-repair open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to DeepSeek-Reasonix or self-repair?
GraphCanon lists graph-backed alternatives at DeepSeek-Reasonix alternatives and self-repair alternatives (DeepSeek-Reasonix 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, DeepSeek-Reasonix or self-repair?
DeepSeek-Reasonix: Very active. 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 DeepSeek-Reasonix and self-repair?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepSeek-Reasonix trust report; self-repair trust report.

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