
BlueOptima
GitClear
Waydev
CodeClimate
Code Time
Git analytics
GitPrime
Developer productivity and engineering analytics from Git changes. Estimate development effort against a consistent baseline, compare developer, team and contractor contributions, and track trends. Cloud, local and on-premises deployment options.
Which is more popular?
Based on our record, Prisma seems to be more popular. It has been mentioned 5 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | devghost.pro | prisma-ai.com |
| Pricing | — | |
| Platforms | — | |
| Company | Startup from Portugal · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


DevGhost is a developer productivity and engineering analytics platform that helps founders, CTOs, and engineering managers understand work delivered by their teams and development contractors. Git-based effort estimation DevGhost analyzes code changes to estimate development work. Its reference...
No description of Prisma yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of DevGhost.pro yet.
Overall verdict
Why this product is good
Recommended for
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing DevGhost.pro and Prisma.
DevGhost.pro's answer
DevGhost estimates the substantive work behind Git changes using a consistent reference: a mid-level developer who knows the codebase and works without AI. This makes contributions comparable beyond commit counts and lines of code. Teams can explore individual output, repository-wide trends, and changes in productivity as development workflows evolve. DevGhost also offers fully local analysis: both code processing and analytics run on your machine, with source code and results staying local.
DevGhost.pro's answer
Choose DevGhost when you need to understand the work delivered by a development team or contractor and compare contributions on a shared scale. It combines effort estimates, developer breakdowns, and productivity timelines in an interactive report. This helps founders and engineering leaders connect progress discussions to actual code changes. With cloud, local, and on-premises options, you can choose a deployment model that fits your workflow and confidentiality requirements.
DevGhost.pro's answer
DevGhost is built for founders, CTOs, engineering managers, and product owners who need visibility into software development. It is especially useful for organizations working with outsourced development teams, agencies, or freelancers, and for leaders trying to understand how AI-assisted development is changing their team's output.
DevGhost.pro's answer
DevGhost is built around a simple question: how much substantive work is actually being delivered? Busy teams, frequent commits, and detailed status reports do not always make that clear. AI-assisted development makes the question even more important, as one developer's output can change dramatically. DevGhost brings code changes onto a common reference scale so founders and engineering leaders can see contributions, follow trends, and have more concrete conversations about delivery.
DevGhost.pro's answer
We do not publish customer names. Engineering productivity and team contribution data can be sensitive, particularly when it involves individual developers or external contractors. We respect the confidentiality of these assessments and the reputations of the people and organizations involved.
DevGhost.pro's answer
DevGhost is built with TypeScript, React, Next.js, and Node.js. Its Python analysis engine uses Git, Tree-sitter, NumPy, and scikit-learn to process and analyze code changes. The web platform uses PostgreSQL with Prisma, while the local edition uses SQLite. The VS Code and Cursor extension combines TypeScript with React-based webviews. The Windows desktop application is built with Electron and shares the local analysis engine. Cloud and on-premises deployment options are supported through Modal and Docker-based infrastructure.
Share your experience with using DevGhost.pro and Prisma. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


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Prisma AI is a computer vision and AI company that specializes in developing deep learning algorithms for image and video processing. It offers a range of products for object recognition, image and video...
Prisma Photo Editor is an elegant photo editing platform that creates awesome photos while letting you apply tons of amazing features, effects, and functionalities right away. You can make your pics look awesome while...
Prisma recently rolled out another similar AI-powered editing app named Lensa, which’s solely made for selfies and portrait photos. It can cover up pimples, dark circles and do other skin corrections along with...
Recommendations tracked on public social media and blogs since March 2021.


Tracking DevGhost.pro since Oct 2026.
What if I just want to make a few? However if you're hoping to do this just for a few images then there are some very low cost apps (often free if you plan it right) which use Stable Diffusion and Dreambooth in the background to produce... Source: over 3 years ago
Perhaps, or they just used an app like Prisma to add that “painting” effect. Source: over 4 years ago
I had to deal with this more in Rails whereas in Node/Apollo, using Prisma made composing efficient/perform ant SQL queries trivial: https://www.prisma.io/. Source: about 5 years ago
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