About Panto
Panto is a code review tool that takes a deep dive into your software development process by integrating Static Application Security Testing (SAST), secret scanning, and infrastructure-as-code (IaC) analysis. In practice, this means that every time you make a pull request, Panto performs over 30,000 static analysis checks on your code. This extensive review identifies potential vulnerabilities, logic errors, and even secret keys that might have slipped through the cracks. It's like having a hyper-vigilant watchdog that never sleeps, ensuring that your code is not just functional but also secure before it even makes it into production.
One of the standout features of Panto is its ability to support more than 30 programming languages, making it a versatile option for teams working in diverse tech stacks. Developers can expect line-by-line feedback that's actionable and easy to understand, which is crucial when you're knee-deep in code. The tool's user interface is relatively straightforward, which helps in reducing the learning curve. I found the integration with popular version control systems like GitHub to be particularly useful, as it allows for a smooth workflow without the need to jump through hoops every time you want to check your code.
Now, let's talk about the pricing: Panto operates on a freemium model, but the lack of clear pricing details left me scratching my head a bit. While the free version is decent for small projects or individual developers, it's not entirely clear what features are locked behind a paywall. This ambiguity might frustrate teams looking to scale, as they could be left wondering whether they need to fork out cash for essential features.
Panto is primarily targeted at software developers, DevOps teams, and security professionals. If you're someone who takes code quality and security seriously (and you really should), this tool can be a valuable addition to your workflow. However, if you're a small team working on less critical projects, the extensive checks could feel a bit overkill, potentially slowing down your development process instead of speeding it up. Overall, Panto is a powerful tool, but its value is heavily dependent on your specific needs and project context.
Our Review
Verified 11 May 2026Reviewed by Delv Editorial, Delv Team
When I first got my hands on Panto, I was intrigued by the promise of it being an all-in-one code review tool that combines SAST, secret scanning, and IaC analysis. I dove into a project I was working on, eager to see how well it could identify potential issues in my code. Right off the bat, I was impressed with the sheer number of checks it performed—over 30,000 on every pull request! That’s a lot of eyes on your code, and it gives you a sense of security knowing that potential vulnerabilities are being flagged before they can become a problem.
The tool supports more than 30 programming languages, which is fantastic. I jumped between a couple of projects, one in Python and another in JavaScript, and found the feedback to be equally thorough in both cases. The line-by-line analysis provides actionable insights, which is a breath of fresh air compared to some other tools that tend to generate endless lists of issues without context. I particularly appreciated the integration with GitHub; it felt like a natural extension of my workflow rather than a cumbersome add-on.
However, it wasn’t all sunshine and rainbows. The freemium pricing model left a lot to be desired. There was no clear breakdown of what features were available for free versus what I’d have to pay for, which made it tricky to gauge whether I was getting the full value. For larger teams, the lack of transparency could lead to unexpected costs, and that’s never a fun surprise.
Comparing Panto to other tools like SonarQube and Snyk, I found Panto's user experience to be more intuitive, but the lack of detailed pricing could be a deal-breaker for some. SonarQube offers more in-depth reporting features, which may appeal to larger development teams.
Overall, I believe Panto is a strong contender in the code review space, especially for teams that are serious about security and code quality. It’s perfect for development teams who want to automate their reviews without compromising on security. However, if you’re a small team or an individual developer working on less critical projects, you might find the extensive checks cumbersome and the pricing unclear. The bottom line is, if your code is your livelihood, Panto could be worth a try, but be prepared to navigate its pricing landscape carefully.
Getting started with Panto
Once you complete this guide, you'll be ready to perform comprehensive code reviews using Panto, ensuring your code is secure and free of vulnerabilities.
Step 1: Sign up and set up
Step 2: Your first code review
Step 3: Get better results
Pro tip
Use the "Integrations" feature in the settings to link Panto with your CI/CD pipeline. This way, you can automate code reviews with every build, saving you time and ensuring security checks are always up to date.
Common mistake to avoid
Many users forget to connect their repository properly. Ensure you grant Panto the necessary permissions to access your code, or it won't be able to perform any analysis. Double-check your repository connection under the "Repositories" tab if you encounter issues.
The Verdict
Panto is a powerful tool for teams prioritising security and code quality in their development process. However, the lack of clear pricing details is a significant drawback that could lead to confusion and unexpected costs. I recommend it for serious software developers and security-conscious teams, but smaller projects or teams might want to explore alternatives with clearer pricing structures.
Best For
- Software developers who prioritise security in their code.
- DevOps teams incorporating security checks into their CI/CD workflows.
- Security professionals assessing code for vulnerabilities.
- Freelance developers wanting to maintain high code standards.
- Startups needing to ensure quality as they scale.
At a Glance
Panto is a code review tool that offers extensive static analysis and security checks to enhance code quality and security in real-time. With support for over 30 programming languages, it automates the review process, allowing developers to focus on building rather than checking. Its freemium model offers a starting point, but the lack of clear pricing details may leave teams in the dark.
Strengths
- +Panto performs over 30,000 static analysis checks on every pull request, which significantly reduces the risk of vulnerabilities in your code.
- +The tool supports more than 30 programming languages, making it a flexible choice for diverse tech stacks and teams.
- +Line-by-line feedback is provided, making it easier for developers to understand and address issues quickly.
- +Integration with version control systems like GitHub allows for a smoother workflow without disrupting your coding process.
- +The user interface is designed to be intuitive, which helps to minimise the learning curve for new users.
Limitations
- -The freemium model lacks clear pricing details, which can create confusion for teams that need to understand the costs associated with scaling their usage.
- -Some features that may be essential for larger projects are likely to be behind a paywall, which could lead to unexpected costs down the line.
- -For smaller teams or less critical projects, the extensive checks might feel excessive and slow down the development process unnecessarily.
- -There could be a learning curve for teams that are not familiar with automated code review tools, despite the user-friendly interface.
Use Cases
- -Software development teams looking to enforce secure coding practices without heavy manual intervention.
- -DevOps teams who need to integrate security checks into their continuous integration/continuous deployment (CI/CD) pipeline.
- -Security professionals assessing code for potential vulnerabilities before it goes live.
- -Freelance developers who want to maintain high standards in their code but don't have a dedicated QA team.
- -Startups needing to ensure their code quality is top-notch as they scale rapidly.
