repowiserepowise
Features
Code health
A defect-validated 1 to 10 score per file. Zero LLM.
Agent provenance
See how much of your code AI wrote, and whether it is healthy.
AI context (MCP)
Ten MCP tools that give your agent real codebase context.
Change risk
A 0 to 10 defect-risk score for any commit or PR.
Security
Reachability-aware CVE triage on your dependency graph.
Auto wiki
A documented wiki of your codebase that rebuilds itself.
Git intelligence
Hotspots, ownership, hidden coupling, and bus factor.
Architecture (C4)
C4 system context, containers, and components.
Decisions
Architectural decisions mined from eight sources.
Solutions
developers
Give Claude Code, Cursor, and any MCP client a queryable model of your repo.
teams
One shared index, one credit pool, one org install. The whole team on the same brain.
team leads
Flag the risky PRs, the hotspots, and the hidden coupling, on every pull request.
engineering leaders
See how much of your code AI wrote, whether it is healthy, and who owns it.
security
CVE triage that knows whether you actually call the vulnerable code.
enterprise
Self-hosted, air-gapped, and commercially licensed for the whole org.
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VS CODACY

The defect-validated, agent-native Codacy alternative.

A code-health score you can reproduce, plus a wiki, git intelligence, decision records, and ten MCP tools for AI agents, all open source and self-hostable, where Codacy ships quality-gate dashboards behind an account wall.

Index your repo freeSee code health
payments/processor.py⚠ LIKELY TO BREAK NEXT
3.1/ 10 health
brain methoduntested hotspotchurn 96%ile3 owners
auth/middleware.py
4.6
api/routes.py
7.2
core/models.py
8.9
~73%state-of-the-art accuracy at calling the file a bug lands in
proven on 21 real projects across 9 languages
0.74
cross-project ROC AUC, validated on real defects
2.3x
more defects under a fixed review budget, in the open benchmark
AGPL
open source, self-hostable, every heuristic public
10
MCP tools so AI agents get real context
THE PROBLEM

Codacy speaks the same quality vocabulary as repowise, complexity, duplication, technical debt, coverage, and code health. The difference is whether that score is a gate on a dashboard, or a reproducible signal wired into a wider intelligence layer.

repowise turns those quality signals into a defect-validated health score you can rerun on your own repo, then surrounds it with an auto-generated wiki, decision records, and agent-native MCP, so the same index serves your quality goals and your AI agents.

THE SHORT VERSION

Which one is right for you?

Choose repowise if

  • You want a code-health score that is defect-validated and reproducible on your own repo
  • You want health plus an auto-generated wiki, decision records, and agent-native MCP in one tool
  • You want code health that is open source and self-hostable, with every heuristic inspectable
  • You want to give AI coding agents real codebase context, not just gate their output
  • You prefer per-repo and per-seat pricing over per-developer SaaS seats

Choose Codacy if

  • You need the broadest possible language and linter coverage today
  • You want mature, established CI and pull-request integrations out of the box
  • You rely heavily on coverage reporting and coverage-trend gating
  • You want a polished SaaS dashboard with security, SAST, and compliance reporting bundled in
SIDE BY SIDE

repowise vs Codacy

CapabilityrepowiseCodacy
Deterministic code-health / quality scoreIncludedIncluded
Complexity, duplication, and technical-debt signalsIncludedIncluded
No account or cloud setup for the first indexrepowise: pip install repowise, no API key, no sign-upIncludedNot included
Open source and self-hostableIncludedNot included
Defect validation reproducible on your reporepowise ships ROC AUC 0.74 with a benchmark you can rerun; Codacy reports gate pass/failIncludedNot included
Three co-equal health signals (defect, maintainability, performance)Codacy blends signals into one quality gateIncludedPartial support
Auto-generated wiki and documentationIncludedNot included
Architectural decision records (8 sources)IncludedNot included
Hotspots, ownership, and git intelligenceCodacy surfaces churn signals; repowise centres ownership, coupling, and bus factorIncludedPartial support
Agent-native MCP context (10 tools)Codacy's AI features stay inside its product surfaceIncludedPartial support
Quality gates in CI / pull requestsPartial supportIncluded
Coverage reporting and coverage-trend gatingNot includedIncluded
Breadth of language and linter coveragerepowise: 16 languages, full-tier for 11Partial supportIncluded
Security scanning (SAST, SCA, secrets, compliance)Partial supportIncluded

Self-assessed against publicly documented features as of June 2026. A dash means partial or limited support. Vendor capabilities change, so please verify against Codacy's current docs before deciding.

WHY TEAMS SWITCH

A gate tells you to stop, a model tells you why.

The same quality vocabulary Codacy uses, backed by a reproducible defect number and a context layer it was never built to provide.

VALIDATED AND REPRODUCIBLE

A score you can rerun, not just a gate you pass

See code health

Every biomarker and weight is open source, and the defect-validation benchmark runs on your own repo, so you can confirm the score finds your bugs rather than trusting a dashboard's pass-or-fail.

  • Cross-project ROC AUC 0.74 (95% CI 0.68 to 0.79, up to 0.90 per repo)
  • 2.3x more defects under a fixed review budget in the open 21-repo benchmark
  • 21 deterministic biomarkers, no LLM, in under 30 seconds on a 3,000-file repo
  • AGPL-3.0: inspect, fork, self-host
See code health
ONE LAYER, NOT A DASHBOARD

Health, docs, decisions, and agent context together

Explore the MCP tools

Codacy is a quality and security product. repowise puts health alongside an auto-generated wiki, architectural decision archaeology, git intelligence, and ten MCP tools, so one index serves the humans accountable for the code and the agents writing it.

  • Auto-generated wiki, rebuilt on every commit
  • Architectural decisions mined from eight sources
  • MCP context loads one commit at 35.6x fewer tokens than a raw file dump
  • MCP tools for Claude Code, Cursor, Cline, and Codex
Explore the MCP tools
OPEN AND SELF-HOSTABLE

No SaaS lock-in, and free if you self-host

For engineering leaders

repowise is free and open source to self-host, with hosted tiers priced per repo and per seat. The full platform runs on your own infrastructure under AGPL-3.0.

  • Self-host the full platform at no cost under AGPL-3.0
  • Bring your own LLM key or run fully offline
  • Zero telemetry, code never leaves your infrastructure
  • Commercial license available when you need it
For engineering leaders
DETERMINISTIC BY DESIGN

No account, no cloud queue, nothing to configure first.

Codacy needs an account and a cloud analysis pass before the first result shows up. repowise's deterministic layer runs locally, with no API key, before you decide whether to add prose at all.

No API key for the first index

pip install repowise, then repowise init --yes --no-prose builds the dependency graph, git history, and full code-health score with zero LLM calls and nothing to sign up for.

Three co-equal signals, not one gate

Defect risk, maintainability, and performance are reported separately, never blended into one pass/fail number, so you know which pillar moved and why before you decide what to fix.

Same score, every run

21 markers score every file the same way each time, with no prompt drift and no different answer on a re-run of an unchanged file.

Noisy command output, distilled

repowise distill wraps test runs, builds, and git commands and prints a compact, errors-first rendering, cutting 61 to 89% of the token cost of reading raw CI output.

COMING FROM CODACY

Switching over takes four steps.

There is no export to run: repowise builds its own index from your git remote, deterministic layer first, and the account-gated parts of Codacy simply have no equivalent to migrate.

01

Install

pip install repowise. No account, no cloud analysis queue, nothing to configure first.

02

Index for free

repowise init --yes --no-prose builds the graph, git history, and full code-health score with no API key and no spend.

03

Read the three signals

Check defect risk, maintainability, and performance separately, then work the worklist instead of chasing a single blended gate.

04

Wire up the agent context

Point Claude Code, Cursor, Cline, or Codex at the ten MCP tools so the same index that scores your code also answers your agent's questions about it.

WHERE CODACY IS STRONGER

The honest version

Codacy is a mature, polished SaaS product, and there are places it leads today. It supports a broader range of languages and linters, and its CI and pull-request integrations are well established and production-proven. Its coverage reporting and coverage-trend gating are more mature than repowise’s, and it bundles security scanning, SAST, SCA, secrets, and compliance reporting into one dashboard. If language breadth, integration depth, or coverage maturity is your priority, Codacy is a strong choice. repowise wins when you want a defect-validated, reproducible score, a full context layer, and agent-native access, all open source and self-hostable.

PRICING

What repowise costs.

The repowise core is open source under AGPL-3.0 and free to self-host, with every heuristic public. Hosted tiers: Free for public repos, Pro at $15 per month, Teams at $60 per month, and custom enterprise licensing when you need it. Codacy's pricing changes, so verify it on their site, then compare it with a tier you can read line by line.

See repowise pricing
FREQUENTLY ASKED

Questions, answered

Is repowise a good Codacy alternative?

Yes, if you want a code-health score you can validate and reproduce, plus a context layer for both humans and AI agents. repowise scores code health from 21 deterministic biomarkers, validated against real defects, and bundles it with an auto-generated wiki, git intelligence, architectural decision records, and ten MCP tools. Codacy remains the better fit if your priority is broad language coverage, mature CI and PR integrations, or coverage reporting at scale.

Is repowise open source? Codacy is not.

Yes. The repowise core is open source under AGPL-3.0, so every biomarker, weight, and scoring rule is public and inspectable, and you can self-host the whole platform. Codacy is a closed-source SaaS product with a free developer tier and free-forever plans for open-source projects.

Does repowise have a code-health score and quality signals like Codacy?

Yes. repowise scores every file 1 to 10 from 21 deterministic biomarkers, covering complexity, deep nesting, duplication, cohesion, change entropy, co-change scatter, ownership dispersion, and prior-defect history, with no LLM, in under 30 seconds on a 3,000-file repo. Codacy frames the same vocabulary as quality gates and dashboards; repowise adds a defect-validation number behind it, and reports it as one of three co-equal signals: defect risk, maintainability, and performance.

How does repowise's defect validation compare?

repowise publishes its score's predictive performance against real defect labels and lets you reproduce it on your own repo: cross-project ROC AUC 0.74 (95% CI 0.68 to 0.79, up to 0.90 per repo), and in repowise's published open 21-repo benchmark the score surfaced 2.3x more defects under a fixed review budget. Codacy reports quality-gate pass and fail status but does not publish a comparable defect-prediction number.

Can repowise give AI coding agents codebase context?

Yes, and this is a core difference. repowise exposes the whole index through ten MCP tools (get_overview, get_answer, get_context, get_risk, get_why, and more) so Claude Code, Cursor, Cline, and Codex answer from a real model of your code. Codacy's AI features sit inside its own product surface rather than serving your agents this way.

Does repowise document architectural decisions?

Yes. repowise mines architectural decision records from eight sources across your code and history, so you can ask why the code is shaped the way it is before you change it. Codacy is a quality and security product and does not provide decision archaeology.

Is repowise cheaper than Codacy?

For most teams, yes. repowise is free and self-hostable under AGPL-3.0, with hosted tiers priced per repo and per seat. Codacy offers a free developer tier and free-forever plans for open-source projects, with paid per-developer pricing above that.

Do I need an API key to start scoring code health?

No. Codacy requires an account and a cloud analysis run before you see anything. repowise needs neither: pip install repowise, then repowise init --yes --no-prose builds the dependency graph, git history, and full code-health score with zero LLM calls and nothing to sign up for. Adding an LLM key is an optional later step, only needed if you want the wiki's prose narrative.

Is repowise's code health one score or three?

Three co-equal signals, not one blended number: defect risk (the validated 1-to-10 score), maintainability (readability and change-cost smells that do not predict bugs on their own), and performance (static I/O-in-loop and N+1 risk shapes). Codacy's quality gate mixes several concerns into a single pass/fail; repowise keeps the three pillars separate so you know which one moved and why.

KEEP EXPLORING
Code health

The defect-validated score, in depth.

The code-health guide

21 markers, the ROC AUC methodology, and how to read a worklist.

Decisions

Architectural decision records from eight sources.

Best code-health tools 2026

How repowise stacks up against Codacy and other quality-gate tools.

Best static-analysis tools for large codebases

Where a deterministic, no-account scanner wins on scale.

For engineering leaders

Health, ownership, and AI-debt for leaders.

Validated code health, and a lot more.

Index your repo freeExplore live wikis
repowiserepowise

Codebase intelligence for AI agents. Open source under AGPL-3.0, hosted SaaS for teams.

Features
  • Code health
  • Agent provenance
  • AI context (MCP)
  • Change risk
  • Security
  • Auto wiki
  • Git intelligence
  • Architecture (C4)
  • Decisions
Solutions
  • For developers
  • For teams
  • For team leads
  • For engineering leaders
  • For security
  • For enterprise
Compare
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  • vs Sourcegraph
  • vs Cursor
  • vs GitClear
  • vs SonarQube
  • vs Snyk Code
  • vs Codacy
  • vs Code Climate / qlty
  • vs Qodo
  • vs Greptile
  • vs Swimm
  • vs CodeRabbit
  • vs CodeGraph
  • vs Graphify
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  • All guides
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