Software Alternatives & Startups

Untracker VS mlsql

Compare Untracker VS mlsql and see what are their differences

Untracker

App to help you remove tracking information before sharing links - zhanghai/Untracker

Rating
0 reviews
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
Project Management popularity
100% vs 0%
alternatives listed
24 vs 1

Base details

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

Untracker
mlsql
Website github.com github.com
Listed in

Features and specs

What each product offers, as listed by its team.

Untracker 5 features
mlsql 0 features
  • Privacy Protection
    Untracker removes tracking parameters from URLs, helping users protect their privacy by preventing advertisers and analytics services from tracking their browsing activity through shared links.
  • Open Source
    The project is fully open source and hosted on GitHub, allowing users to inspect the code, verify its behavior, contribute improvements, and trust that it does what it claims without hidden functionality.
  • Easy to Use
    Untracker integrates with Android's share menu, making it seamless to clean URLs before sharing them. Users can clean tracking parameters with minimal effort as part of their normal sharing workflow.
  • Rule-Based Approach
    The app uses a configurable rules-based system to identify and strip tracking parameters, which makes it flexible and extensible. Users or contributors can add new rules as tracking methods evolve.
  • Lightweight and Focused
    The app has a single, well-defined purpose — removing tracking parameters from URLs. It doesn't try to do too much, keeping it simple, small, and efficient without unnecessary bloat.

Possible disadvantages

  • Android Only
    Untracker is currently available only for Android, meaning users on iOS, desktop, or other platforms cannot benefit from the tool without seeking alternative solutions.
  • Limited Awareness and Adoption
    As a relatively niche GitHub project, Untracker has limited community size and visibility, which may mean slower development, fewer rule updates, and less community support compared to more popular privacy tools.
  • Maintenance Dependency
    Tracking parameters constantly evolve as advertisers create new ones. The effectiveness of Untracker depends on ongoing maintenance and rule updates, and if the project becomes inactive, it could quickly become outdated.
  • May Break Some URLs
    Aggressive removal of URL parameters could occasionally break legitimate functionality of some links, as not all query parameters are tracking-related and some may be necessary for the link to work correctly.
  • Manual Share Step Required
    Users need to actively use the share menu integration to clean URLs, meaning it doesn't automatically clean all URLs system-wide. Links opened directly or copied without using the share flow won't be cleaned.

No features have been listed yet.

Analysis

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

Untracker
mlsql

Overall verdict

  • Untracker is a useful open-source utility for cleaning tracking parameters from URLs, making it a solid choice for privacy-conscious users who value transparency and lightweight tools.

Why this product is good

  • Open-source, so the code is auditable and community-driven
  • Effectively strips tracking parameters (like UTM tags) from links for improved privacy
  • Lightweight and focused on doing one job well
  • Free to use with no hidden costs typical of open-source projects

Recommended for

  • Privacy-conscious users who want to share clean links
  • Developers looking for a simple URL-cleaning tool to integrate or self-host
  • People who frequently share links on social media or messaging apps
  • Open-source enthusiasts who prefer transparent, community-maintained software

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
Untracker
mlsql
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using Untracker 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.

Untracker 0 mentions
mlsql 2 mentions

Tracking Untracker since Apr 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: almost 5 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 Untracker and mlsql

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