
Koinly
Coinpanda
TokenTax
CoinTracker
CoinLedger
ZenLedger
Accointing
Keep track of your crypto portfolio & taxes in one place

LinearB
Swarmia
Typo
Faros.ai
Hatica
Waydev
DevPrism correlates AI adoption with DORA delivery speed, code quality and ROI - then agents investigate the anomalies and act, at the level of autonomy you choose.

Which is more popular?
Based on our record, Blockpit seems to be more popular. It has been mentioned 12 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | blockpit.io | devprism.io |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from France · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Blockpit yet.
DevPrism is an engineering intelligence platform for engineering managers, VPs of Engineering and CTOs who need a factual view of how their teams deliver software. It connects to the tools a team already uses - GitHub, GitLab, Azure DevOps, Bitbucket, Jira, Linear, SonarQube and Codacy - and...
What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
Recommended for
Blockpit is recommended for cryptocurrency investors and traders who need a streamlined solution for managing their tax obligations. It's particularly useful for those who engage in frequent trading or use multiple exchanges and wallets, as well as accountants who manage crypto portfolios for clients.
No analysis of DevPrism yet.
Walkthroughs and reviews on video.
BITCOIN vs STEUERN - 2 Trackingplattformen im Vergleich. CoinTracking.info und blockpit.io im Test
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Blockpit and DevPrism.
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.
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.
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.
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.
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.
Share your experience with using Blockpit and DevPrism. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Blockpit is a crypto tax tool like Koinly that lets you calculate crypto taxes for your entire portfolio. This software is worth considering as it is fast, reliable, and 100% compliant. Full compliance is what makes...
We have no reviews of DevPrism yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


I am part of the Blockpit team - a crypto tax software startup based in Austria (https://blockpit.io/). We are dedicated to enhancing our product based on valuable feedback from savvy crypto users, especially from the UK. Source: over 3 years ago
Some options are https://blockpit.io and lila’s ledger https://dfkreport.cognifact.com/. Source: over 3 years ago
Maybe if you don't know it already give it a try :) blockpit. Source: over 4 years ago
Tracking DevPrism since Aug 2026.
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