DeepSource vs Codacy

Quality and AI review.Easier to set up.Faster to scale.

Codacy is the easy-to-set-up DeepSource alternative that checks code quality and security on every pull request, with standards set once for your whole organization.

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Codacy organization dashboard with issues, security findings and coverage

Trusted by 15,000+ organizations and 200,000+ developers worldwide

Codacy customer logos, including NASA, Zalando, Delivery Hero, Genesys and LIXIL

Why teams choose Codacy as their DeepSource alternative

Code quality

Quality gates on every PR,
no config files

Codacy checks every pull request for complexity, duplication, error-prone patterns and security issues, blocks merges that fail your quality or coverage gates, and applies the same Coding Standards to every repository from one place. DeepSource needs a .deepsource.toml in each repository, and reviewers call the setup and exclusions difficult.

Learn more about Coding Standards
GitHub pull request with a failing Codacy check that reports 3 new critical issues
Hybrid AI review

AI review grounded
in your rules

Codacy's AI Reviewer combines rule-based static analysis with AI that reads each pull request's changes and linked Jira ticket, to check the code does what the ticket asked for and catch logic gaps scanners miss. Add a review.md file to give it your team's context.

How Codacy's AI Reviewer works
Codacy AI Reviewer comment on a pull request flagging a high-risk logic error, with a suggested fix to commit
Security beyond static analysis

SAST, SCA, secrets,
IaC and DAST

Codacy covers SAST, SCA, secrets and IaC on every pull request, then runs container image scans, DAST on your web apps and APIs and tracks pen-test findings with deadlines, in the same platform. DeepSource's security stops at static analysis, with no testing of running apps.

See security capabilities
Codacy app scanning targets with a completed DAST scan showing 12 new findings by severity
AI Guardrails, CLI & Skills

Unlimited fixes as you type
before commit

Codacy Guardrails scans as you type and auto-fixes unlimited lines of AI code before you see it, and with Codacy Skills, your coding agents run your Coding Standards locally through the Codacy CLI before commit. DeepSource's IDE extension fixes issues on click, up to only 25 a day on its free plan, and its CLI only shows findings once its cloud has reviewed pushed code.

Get started with Codacy Guardrails
Claude Code terminal running the Codacy Analysis CLI on local changes, fixing 11 findings before commit
Predictable pricing

No metered AI reviews

Codacy Team starts at $18 per developer a month, with AI Reviewer, SCA and secrets included. DeepSource Team costs $24 per user, meters AI Review per 10K lines once credits run out, and bills SCA per target after three.

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Codacy Team plan at $18 per developer a month, with unlimited AI Reviewer, dependency scanning and secrets detection

"Despite the increase in code lines from AI generation, quality metrics like production incidents and customer bugs are stable. Codacy protects us from dropping the maturity that we've reached."

Ronen Yurik DevEx Director at LSports

10x

increase in unit test coverage

800

repos standardized under unified quality gates

Zero

new critical security issues introduced

Read case study
Ronen Yurik

DeepSource vs Codacy comparison

Code quality, AI review and gates on every pull request, with security and runtime testing in the same platform.

Codacy
DeepSource
Code QualityAutomated code quality analysis detecting error-prone patterns, code complexity, duplications, best practice violations and more, across 49 languages.
AI ReviewerHybrid, AI-powered Pull Request review engine that understands code intent and context, catching issues conventional static analysis tools miss.
Code CoverageTrack and improve test coverage metrics by enforcing unit tests on critical code, with configurable merge gates.
Quality gates on pull requestsBlock merges that add issues, complexity or duplication above thresholds you set, with the result posted as a status check.
Scan-as-you-code in the IDEReal-time security and quality analysis as you write, catching issues before code is committed.
Pipelineless code scansDirect Git integration via webhooks eliminates CI/CD pipeline setup requirements.
One-click integrationInstant setup with GitHub, GitLab, and Bitbucket without complex configuration.
SASTStatic application security testing to identify and prevent security vulnerabilities before deployment.
Secret scanningDetect and prevent exposed API keys, tokens, and credentials from entering your codebase.
Dependency checks (SCA)Software composition analysis that flags known vulnerabilities in your open-source dependencies.
License scanningAutomated detection of open-source license compliance issues and conflicts.
Infrastructure-as-CodeDetect cloud misconfigurations, excessive permissions and open network ports before they provision live infrastructure.
MCP integrationModel Context Protocol support enabling AI agents to access analysis results, reports, and configurations.
Agent SkillsOpen-source skills that teach coding agents like Claude Code, Codex and Gemini CLI to run Codacy scans and act on the results.
Native Jira integrationCreate Jira tickets from findings, dependencies and files, and import Jira security issues into Codacy to track them in one place.
Native Slack integrationInstant Slack alerts for critical security issues.
Malware detectionAutomated detection of malicious packages in your dependencies to protect against supply chain attacks and compromised open-source libraries.
Pre-commit checks with your standardsRun your organization's Coding Standards on a developer's machine with the Codacy CLI, so local results match your pull request checks.
49 languages supportedStatic analysis across 49 languages, including Apex, Elixir and PowerShell.
DASTDynamic application security testing for runtime vulnerability detection with no pipeline setup required.
Penetration testingIntegrated penetration testing capabilities through Codacy partners to identify exploitable vulnerabilities.
Guardrails for AI agentsReal-time scanning and auto-fixing of security and quality issues in AI-generated code before developers see the suggested changes.
AI Code GovernanceCentralized dashboard for tracking AI-specific risks across all projects.
AI Coding PoliciesEnforce organization-wide standards for AI-generated code, detecting policy violations like unapproved model calls, insecure patterns, and non-compliant AI outputs.
AI InventorySee which AI tools and models are in use across your organization, and in which repositories.

When to choose Codacy over DeepSource

Teams tired of per-repo config

For teams managing a config file in every repository just to keep analysis running. Codacy sets Coding Standards, gates and exclusions once in the UI, applies them across repositories, and connects to your Git provider in a few clicks with no CI step.

Teams building with coding agents

For teams where Claude Code, Codex or an IDE agent writes much of the code. Codacy Guardrails scans as you type and auto-fixes unlimited lines of AI code before you see it, Codacy Skills let agents run your standards locally with the Codacy CLI before commit, and the same rules gate the pull request.

Teams gating PRs on quality

For teams that want complexity, duplication and error-prone code caught on every pull request, with gates that block merges and security in the same scan. Codacy applies one set of Coding Standards to every repository and shows which teams are improving.

End-to-End protection,
ready for AI Coding

Today's development teams face complex challenges that traditional tools can't solve.

AI Agent

Enforce secure GenAI code on every prompt

GitHubClaudeGemini

Editor

Scan and auto-fix security and quality issues instantly

VS CodeIntelliJCursor

Git Repo

Catch risky and untested code before merging

GitHub CopilotGitLabBitbucket

Production

Scan your API endpoints and apps at runtime

AWSAzureGoogle Cloud

Ready to make the switch?

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Frequently asked questions

How is Codacy's setup and integration different from DeepSource?

Codacy checks code quality and security on every pull request, with Coding Standards, gates and exclusions set once in the UI rather than in a config file per repository, and applies the same rules from the first prompt to runtime. The Codacy Analysis CLI runs your Coding Standards on a developer's machine, and Codacy Skills let Claude Code, Codex or Gemini CLI use it before commit. In the IDE, Codacy Guardrails scans as you type and auto-fixes AI-generated code, and DAST tests your apps at runtime from the same platform. Like DeepSource, Codacy connects to your Git provider in a few clicks and scans every pull request without adding a step to your CI/CD pipeline.

How does Codacy's billing compare to DeepSource?

Codacy's Team plan costs less per seat and has no usage-based fees. It starts at $18 per developer per month, billed yearly ($21 monthly) compared with $24 ($30 monthly) for DeepSource Team, and includes AI Reviewer, SCA and secret scanning with unlimited lines of code. DeepSource includes three SCA targets, then charges from $8 per extra target each month, and bills AI Review at $8 to $15 per 10,000 lines processed once the team's included credits run out.

What assistance does Codacy provide to simplify the migration process from DeepSource?

We've helped engineering teams of every size move onto Codacy, and we'll work directly with you to plan the switch. Our team reviews your DeepSource setup, including the analyzers, rules and exclusions you rely on, and maps it to Codacy coding standards and quality gates. Because both tools connect straight to your Git provider, there's no pipeline to rebuild: the main CI change is sending coverage reports to Codacy instead. Documentation and personalized onboarding help your teams keep shipping without interruption.

What kind of technical support is included with a Codacy subscription?

All Codacy subscriptions include responsive, high-quality technical support. Our team of experts is ready to assist you with any questions, from initial setup and onboarding to advanced configuration and troubleshooting. We are committed to ensuring your team is successful with Codacy, providing the reliable assistance you need to keep your development workflow running smoothly.

Is there a no-commitment way to see how Codacy performs on our codebase?

Absolutely. We offer two easy ways to get started. For individual developers and smaller teams, you can start a free 14-day trial. Just connect your repository in minutes and you'll get an instant analysis to see exactly how Codacy performs on your own codebase—no credit card required. For larger organizations and teams evaluating a broader rollout, we offer a dedicated one-month Proof of Value (POV). This extended, guided trial allows you to fully test Codacy's capabilities across multiple teams and repositories with personalized support from our experts. This ensures you can confidently see the value Codacy provides before making any commitment.

What are other DeepSource alternatives?

Codacy combines code quality, AppSec and AI guardrails in one platform. Here's how Codacy compares to other tools teams evaluate alongside DeepSource:

Code quality on every PR,
no config files,
unlimited fixes as you type.

See it on your code in minutes.

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