Codacy VS DevPrism

Compare Codacy VS DevPrism and see what are their differences

Rating: 0 reviews
Pricing: Open source

Rating: 0 reviews
Pricing: Freemium Free trial €25 / Monthly (Pro - per developer, per month)

Data Analytic System

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Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Codacy seems to be more popular. It has been mentioned 4 times since March 2021.

social mentions: 4 vs 0
Code Coverage popularity: 100% vs 0%
alternatives listed: 207 vs 6

Base details

Website, pricing, platforms and company facts side by side.

	Codacy	DevPrism
Website	codacy.com	devprism.io
Pricing	Open source Official pricing	Freemium Free trial €25 / Monthly (Pro - per developer, per month) Official pricing
Platforms	—	Web SaaS
Company	Startup from Portugal · 1 - 9 employees · 2012	Startup from France · 1 - 9 employees · 2026
Listed in	Code Coverage Code Quality Static Code Analysis Code Analysis +1	Software Engineering Data Dashboard Predictive Analytics Developer Analytics +1

About Codacy and DevPrism

In their own words, as submitted to SaaSHub.

Codacy

DevPrism

Codacy automates code reviews and monitors code quality on every commit and pull request reporting back the impact of every commit or pull request, issues concerning code style, best practices, security, and many others. It monitors changes in code coverage, code duplication and code complexity....

Features and specs

What each product offers, as listed by its team.

Codacy 6 features

DevPrism 10 features

Comprehensive Code Analysis
Codacy offers a wide array of static code analysis tools that can help identify many types of issues such as code complexity, security vulnerabilities, and code duplication.
Supports Multiple Languages
Codacy supports a wide variety of programming languages including Java, JavaScript, Python, Ruby, and more. This makes it suitable for polyglot development teams.
Integration with CI/CD Pipelines
Codacy integrates seamlessly with popular Continuous Integration/Continuous Deployment (CI/CD) tools like Jenkins, CircleCI, and Travis CI, enabling automated code reviews as part of the development workflow.
Customizable Analysis
It allows teams to set custom quality and code style thresholds, ensuring that the code analysis process is tailored to meet the specific requirements of the project.
Automated Pull Request Reviews
Codacy can automatically review pull requests and report issues as comments, helping developers identify problems before merging code changes.
Dashboard and Reporting
It provides an insightful dashboard that offers an overview of code quality metrics and trends over time. This helps in tracking progress and identifying areas that need improvement.

Possible disadvantages

High Cost for Large Teams
While Codacy offers a free tier, the pricing can become quite expensive for larger teams and organizations, which could be a limiting factor for widespread adoption.
Initial Configuration Complexity
Setting up Codacy to match specific project requirements can be complex and time-consuming, requiring significant effort to configure all the necessary rules and integrations.
Occasional False Positives
Some users have reported instances of false positives, where Codacy flags code that does not actually have any issues. This can lead to wasted time and potential confusion.
Performance Issues
Codacy can sometimes slow down during code analysis, particularly for large projects, which can impact developer productivity.
Learning Curve
For teams that are new to code analysis tools, there may be a learning curve involved in understanding and effectively utilizing Codacy's comprehensive feature set.

DORA metrics
Deployment frequency, lead time, change failure rate, MTTR and rework rate, computed per team.
SPACE framework
The five SPACE dimensions, including native developer experience surveys.
AI impact correlation
AI assistant adoption correlated with delivery speed, product quality and token cost.
Cost per pull request
AI spend reported per pull request and per team rather than as a licence total.
Predictive PR risk
Open pull requests scored against the team's own velocity baseline to flag likely blockers.
AI agents
Root cause investigation, quality regression detection, PR orchestration and capacity planning. (Pro and above.)
Policy Engine
Rules applied in suggest, approve or automatic mode, writing back to GitHub, Azure DevOps, GitLab and Bitbucket. (Enterprise.)
Native integrations
13 connectors across source control, CI/CD, code analysis, project management and AI coding assistants.
Alerts and digests
Threshold alerts and weekly engineering digests to Slack, Microsoft Teams, Google Chat and email.
EU hosting
Data hosted in France, GDPR native, SSO with Google, Microsoft Entra ID, GitHub or GitLab from the Pro plan.

Videos

Walkthroughs and reviews on video.

Codacy 2 videos + Add

DevPrism 0 videos + Add

Using Codacy for automated code reviews

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100

Codacy

DevPrism

100% 100%

0% 0%

100% 100%

0% 0%

100% 100%

Questions & Answers

As answered by people managing Codacy and DevPrism.

How would you describe the primary audience of your product?

DevPrism's answer:

Engineering leadership in software organisations that have already rolled out AI coding assistants: VPs of Engineering, CTOs and Engineering Managers who are asked to justify the spend and to show what changed in delivery and quality.

Platform and developer experience teams use it too, for the delivery metrics and the developer experience surveys. It fits teams from a handful of developers on the free plan up to several hundred contributors.

Why should a person choose your product over its competitors?

DevPrism's answer:

Because the question most teams now have is not "how fast do we ship" but "what did the AI investment change, and what did it cost". DevPrism answers it on your own data: adoption of GitHub Copilot, Cursor, Claude Code, Codex and Devin Desktop next to delivery metrics, quality signals and token spend, per team and per period.

It also acts. Beyond dashboards, a policy engine applies rules in three execution modes - suggest, act with approval, or act automatically - with dry run enabled by default, so automation is introduced at the pace the organisation is comfortable with.

Practical points: a free plan for up to seven managed contributors with no credit card, an interface in English, French, Spanish and German, and hosting in the European Union with a GDPR native design.

What's the story behind your product?

DevPrism's answer:

It started from a gap encountered while leading engineering teams. Copilot, Cursor and Claude Code get rolled out, productivity feels better, and then someone asks for the return on the investment - and there is nothing to show. Suggestion acceptance rate measures usage, not impact, and no dashboard connects AI usage to delivery outcomes.

Meanwhile the data already exists, scattered across GitHub, Jira, SonarQube and the assistants themselves, and teams rebuild the same spreadsheet every quarter. DevPrism was built to bring those sources together and, past the measurement, to act on what they reveal.

Which are the primary technologies used for building your product?

DevPrism's answer:

Backend in C# on .NET, with ASP.NET Core minimal APIs, Entity Framework Core, MediatR and Hangfire for background processing. PostgreSQL with the pgvector extension stores both relational data and embeddings for semantic search; Redis handles distributed caching.

The web application is React with TypeScript, built with Vite and styled with Tailwind CSS. Everything runs on Azure Container Apps in the France Central region, orchestrated with .NET Aspire.

What makes your product unique?

DevPrism's answer:

Three axes that usually live in separate tools are correlated on the same data: delivery speed (DORA), product quality (churn, duplication, coverage, code smells) and the cost of AI coding assistants, reported per pull request rather than as a licence total.

The second part is what the correlation is for. Agents investigate why a metric moved, and a policy engine can act on the answer - assigning a reviewer, flagging a risky pull request, escalating a stale one - writing back to GitHub, Azure DevOps, GitLab or Bitbucket at the level of autonomy the organisation grants, from observation only to automatic remediation.

Pricing follows managed entities rather than headcount: humans, AI assistant seats and autonomous agents are counted separately, because not every contributor is a person any more.

User comments

Share your experience with using Codacy and DevPrism. For example, how are they different and which one is better?

Reviews and articles

External articles and on-site reviews we used to compare the two products.

Codacy no reviews yet

DevPrism no reviews yet

Top 11 SonarQube Alternatives in 2024
www.codeant.ai · Oct 2024

Each of these tools offers unique advantages that make them compelling alternatives to SonarQube, depending on organizational goals, budgets, and technology stacks. Codeant.ai and Codacy provide user-friendly...
8 Best Static Code Analysis Tools For 2024
www.qodo.ai · Jul 2024

Codacy is a popular code analysis and quality tool that helps you deliver better software. It continuously reviews your code and monitors its quality from the beginning.
The 5 Best SonarQube Alternatives in 2024
blog.codacy.com · May 2024

Secondly, while SonarQube offers security analysis, Codacy provides a more holistic approach to security, including features like supply chain security and secret detection out of the box. Added to this are Codacy’s...

We have no reviews of DevPrism yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Codacy 4 mentions

DevPrism 0 mentions

What is the best way to set a cookie (without setcookie?)
I'm trying to use Codacy to review my code. One of the issues is regarding the use of the "setcookie" function. Source: almost 5 years ago
Converting vstest coverage files in github actions?
Does anyone have an example on how to get this conversion done on github actions where I can convert the *.coverage file into a *.xml file for uploading to codacy.com. Source: about 5 years ago
PHP Static Analysis Tools Review
Online analysisFinally, if you want a simple way to analyze your code without having to manually configure everything locally, you can use an online code review service such as Codacy (shameless plug here). We already integrate some of... - Source: dev.to / over 5 years ago

Tracking DevPrism since Aug 2026.

Alternatives to Codacy and DevPrism

When comparing Codacy and DevPrism, you can also consider the following products.

SonarQube
SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.

Compare SonarQube to Codacy or DevPrism:

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LinearB
LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.

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CodeClimate
Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.

Compare CodeClimate to Codacy or DevPrism:

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Swarmia
Swarmia is an engineering productivity software trusted by 600+ engineering teams worldwide. Use key engineering metrics to unblock the flow, align engineering with business objectives, and drive continuous improvement.

Compare Swarmia to Codacy or DevPrism:

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CodeFactor.io
Automated Code Review for GitHub & BitBucket

Compare CodeFactor.io to Codacy or DevPrism:

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Typo
Your all-in-one engineering intelligence platform to optimise software delivery - Better Code, Faster Deployments, Productive Dev Teams!

Compare Typo to Codacy or DevPrism:

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