Software Alternatives & Startups

Clarus.dev VS mlsql

Compare Clarus.dev VS mlsql and see what are their differences

Clarus.dev

Screenshots, scrolling capture and screen recording for Windows, with a real video timeline and annotation editor. Offline text recognition makes every capture searchable by the words inside it. Free tier is permanent, no account needed.

Rating
0 reviews
Pricing
Freemium Free trial $3.25 / Monthly (Pro, billed annually at $39)
mlsql

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

Rating
0 reviews
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, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
0 vs 2
Screenshot Annotation popularity
100% vs 0%
alternatives listed
22 vs 1

Base details

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

Clarus.dev
mlsql
Website getclarus.dev github.com
Pricing
Freemium Free trial $3.25 / Monthly (Pro, billed annually at $39) Official pricing
—
Platforms
Windows
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Company Startup from the United Arab Emirates · 1 - 9 employees · 2026 —
Listed in

About Clarus.dev and mlsql

In their own words, as submitted to SaaSHub.

Clarus.dev
mlsql

Clarus is a Windows screenshot and screen-recording app built around one idea: a capture should still be useful a month later. Take a shot with Win+Shift+S — Clarus takes over the Snipping Tool's shortcut — and a capture card appears in the corner. Drag it straight into any app, copy it, annotate...

Read more about Clarus.dev

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

Clarus.dev 12 features
mlsql 0 features
  • Capture modes
    Area, window, fullscreen, and scrolling capture for whole pages
  • Screen Recording
    System and microphone audio, webcam, on a real video timeline
  • Search inside captures
    Every capture is indexed by the text in it and findable months later
  • Text Recognition
    Runs entirely on your machine — nothing is sent to a server
  • Annotation editor
    Arrows, shapes, text, step numbers, highlighter, blur and pixelate
  • Video Editing
    Trim, split, move clips, zoom segments, redaction baked into the export
  • Instant Replay
    Rolling buffer — save the last few minutes after something happens
  • Pin on top
    Keep a screenshot floating above every other window
  • Colour picker
    Screen-wide picker with HEX, RGB and HSL
  • Cloud sharing
    Expiring, password-protected links. 250 MB free, 5 GB on Pro
  • Shortcut takeover
    Replaces Win+Shift+S, so it's where your hand already goes
  • Free plan
    Permanent, no account required

No features have been listed yet.

Analysis

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

Clarus.dev
mlsql

No analysis of Clarus.dev yet.

Overall verdict

  • MLSQL is a solid open-source unified platform that blends SQL with machine learning, making data engineering and ML workflows accessible through a single, declarative language. It's a good choice for teams looking to streamline big data and ML pipelines without switching between multiple tools.

Why this product is good

  • It unifies data processing and machine learning under a single SQL-like syntax, lowering the learning curve for data teams.
  • Built on top of Apache Spark, it leverages a proven distributed computing engine for handling large-scale data.
  • Open-source and actively developed, allowing customization and community-driven improvements.
  • Supports the full ML lifecycle including data preprocessing, training, and deployment within one workflow.
  • Reduces the need to context-switch between separate ETL, analytics, and ML tools.

Recommended for

  • Data engineers and data scientists who prefer SQL-centric workflows
  • Teams working with big data on Apache Spark
  • Organizations wanting to unify ETL and machine learning pipelines
  • Companies seeking an open-source alternative to fragmented ML tooling
  • Analysts looking to build ML models without deep programming expertise

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
Clarus.dev
mlsql
100% 100%
0% 0%
0% 0%
100% 100%
0% 0%
LMS
100% 100%

Questions & Answers

As answered by people managing Clarus.dev and mlsql.

What makes your product unique?

Clarus.dev's answer

Every capture is indexed by the text inside it. Text recognition runs locally the moment you take a screenshot or finish a recording, so months later you can search for a word you remember seeing and get the picture straight back. Most capture tools leave you with a folder of files named by timestamp; Clarus leaves you with something you can actually search.

It also takes over Win+Shift+S, so it lives where your hand already goes rather than asking you to learn a new shortcut.

Why should a person choose your product over its competitors?

Clarus.dev's answer

Most Windows users are really choosing against the Snipping Tool, which they already have. Clarus does everything it does, then keeps the capture useful: a searchable history, screen recording on a real editing timeline, annotation for both screenshots and video, and share links you can expire or password-protect. The Snipping Tool captures and forgets.

Against a paid tool like Snagit, the differences are that text recognition runs entirely on your machine rather than in a cloud, the free tier is permanent and needs no account, and nothing leaves your computer unless you explicitly choose to share it.

How would you describe the primary audience of your product?

Clarus.dev's answer

People on Windows who take a lot of screenshots as part of their work and keep losing them: developers filing bug reports, support and QA teams, designers collecting references, writers and teachers making documentation, and anyone who screenshots a receipt, a booking confirmation or an error message and needs it again weeks later.

It is built for individuals and small teams rather than large IT-managed rollouts.

What's the story behind your product?

Clarus.dev's answer

It started as a personal annoyance. I took screenshots constantly and never found them again — a folder of thousands of files named by timestamp is not a record of anything. The obvious fix was to make the pictures searchable by what is written in them, which meant running text recognition locally on every capture instead of shipping them off to a server.

Everything else grew out of using it daily: the annotation editor, then screen recording, then a real video timeline, because trimming a recording in something else was slower than building the tool. Clarus is made by one person in the UAE.

Which are the primary technologies used for building your product?

Clarus.dev's answer

Rust and Tauri 2 for the native Windows layer, React 19 with TypeScript for the interface, and Vite for the build.

Capture uses Windows Graphics Capture and DXGI Desktop Duplication; recording encodes through Media Foundation with hardware H.264 where the GPU supports it. Text recognition is PaddleOCR running locally through tract, a pure-Rust inference engine, with the Windows OCR API as a fast first pass.

The cloud side is Supabase with Cloudflare Pages.

User comments

Share your experience with using Clarus.dev and mlsql. For example, how are they different and which one is better?

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Social recommendations and mentions

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

Clarus.dev 0 mentions
mlsql 2 mentions

Tracking Clarus.dev since Aug 2026.

  • Download the files from Docker Container and locally edit them
    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
  • Clone and edit Docker Projects hosted on Github
    I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago

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