
Sprinto
DSALTA
Kanonik
Guardiso
SetAIComply
Auditara
eramba
Self-assessment with 116 questions, templates for Article 21 NIS 2, BSI registration guide, and management training. Open Source, no lock-in.

FriendlyData
Infer SQL queries from plain-text questions and table headers.

Which is more popular?
Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | nisd2.eu | github.com |
| Pricing | — | |
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What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
An editorial look at what each product does well and who it suits.


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


Share your experience with using open-isms and mlsql. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking open-isms since Sep 2026.
I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
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New-gen GRC for lean teams. Your own AI does the work; Kanonik verifies every change, a person approves it, and the record is sealed for your auditor.
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AI-Act-native compliance for European SMEs — classify AI systems, generate Annex IV docs, and stay compliant in 24 EU languages. Self-serve, from €0.
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