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Hurl.dev VS mlsql

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

Hurl.dev

Hurl is a command line tool that runs HTTP requests defined in a simple plain text format.

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
mlsql

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

Rating
0 reviews
Alternatives Is it good?
HTMLCSS to Image API
Capture website screenshots, render HTML/CSS, or create templated graphics. Render images or PDFs. Use MCP with AI, no-code automation, or the REST API. No browsers needed. sponsored
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, Hurl.dev seems to be a lot more popular than mlsql. While we know about 61 links to Hurl.dev, we've tracked only 2 mentions of mlsql.

social mentions
61 vs 2
Command Line Tools popularity
100% vs 0%
alternatives listed
13 vs 1

Base details

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

Hurl.dev
mlsql
Website hurl.dev github.com
Pricing
Open source
—
Listed in
Command Line Tools HTTP HTTP Test Tool Web Development Tools +1
Education LMS Online Learning Web App +1

Features and specs

What each product offers, as listed by its team.

Hurl.dev 5 features
mlsql 0 features
  • Ease of Use
    Hurl.dev provides a simple and intuitive interface to work with, making it easy for users to compose and test HTTP requests without dealing with the complexity of more advanced tools.
  • Scripting Capabilities
    It offers powerful scripting capabilities using a straightforward syntax, allowing users to automate HTTP requests efficiently.
  • Open Source
    Hurl.dev being open-source allows users to contribute to the development and improvement of the tool, as well as ensuring transparency and reliability.
  • Flexibility
    The tool supports a wide range of HTTP methods and features, accommodating various testing needs and workflows.
  • Integration
    Hurl.dev can easily integrate into existing CI/CD pipelines, streamlining automated testing processes.

Possible disadvantages

  • Limited Advanced Features
    Compared to more complex tools, Hurl.dev might lack some advanced features required for extensive API testing and analysis.
  • Learning Curve for Scripting
    While Hurl.dev provides scripting capabilities, users unfamiliar with the syntax may face an initial learning curve.
  • Community Support
    As a newer tool, it might have a smaller community, which can affect the availability of resources and support.
  • Performance Limitations
    Hurl.dev may not handle very large or complex load testing scenarios as efficiently as dedicated load testing tools.
  • Interface Limitations
    The command-line nature of the tool might not appeal to users who prefer graphical user interfaces for managing HTTP requests.

No features have been listed yet.

Analysis

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

Hurl.dev
mlsql

No analysis of Hurl.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
Hurl.dev
mlsql
100% 100%
Command Line Tools
0% 0%
0% 0%
Web App
100% 100%
100% 100%
Developer Tools
0% 0%
0% 0%
Online Learning
100% 100%

User comments

Share your experience with using Hurl.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.

Hurl.dev 61 mentions
mlsql 2 mentions
  • Every invoice in Brazil's economy runs on SOAP 1.2. We mapped it all
    Https://hurl.dev is pretty neat. As others have mentioned already - Bruno is also lean, dependable and recently got .yml support. - Source: Hacker News / about 1 month ago
  • Show HN: APIs as First-Class Citizen
    }; ``` I've carefully studied tools like gRPC/TypeSpec, but I'm not entirely satisfied. Since I have prior experience writing parsers and code generation tools, I finally decided to create my own—[XIDL](https://github.com/xidl/xidl). I... - Source: Hacker News / 3 months ago
  • Hurl vs Postman: Git-Friendly API Testing With Proxy-Aware Egress (2026)
    If any of that sounds familiar, I’d recommend finally taking the big step and replacing your Postman collection with Hurl — a command-line HTTP test runner where tests are plain **.hurl** text files that live in Git. For this tutorial,... - Source: dev.to / 4 months ago

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  • 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

Alternatives to Hurl.dev and mlsql

When comparing Hurl.dev and mlsql, you can also consider the following products.

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