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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, Ninja Build
seems to be a lot more popular than mlsql.
While we know about 23 links to Ninja Build,
we've tracked only 2 mentions of mlsql.
social mentions
2 vs 23
Web App popularity
100% vs 0%
alternatives listed
1 vs 53
Base details
Website, pricing, platforms and company facts side by side.
Speed Ninja is designed for high performance, making it one of the fastest build systems available. It minimizes the time spent on tasks such as parsing, dependency resolution, and build command execution.
Simplicity Ninja’s configuration syntax is straightforward and concise, reducing the complexity involved in setting up builds and allowing for a clear overview of build rules.
Parallelism Ninja excels at handling parallel builds, leveraging multiple cores effectively to decrease overall build times.
Incremental Builds Ninja efficiently handles incremental builds by only recompiling what is necessary, which significantly speeds up iterative development processes.
Integration Ninja is often used as the backend for more complex build systems (e.g., CMake), making it a versatile tool within a larger toolchain.
Possible disadvantages
Limited Features Ninja is deliberately minimalist, lacking many of the features found in other build systems, such as built-in support for complex dependency management and custom build steps.
Learning Curve While Ninja itself has a simple syntax, the learning curve can be steep for those unfamiliar with how build systems work or for those coming from more feature-rich environments.
Dependency on Generators Ninja often requires an external generator (like CMake) to create its build files, which can add to the setup complexity and introduce dependencies on other tools.
Limited Scripting Capabilities Unlike some build systems that offer extensive scripting support (e.g., Python in SCons), Ninja's functionality is largely limited to what its syntax and predefined rules allow.
Less Flexibility Due to its minimalist nature, Ninja may not be as flexible as other build systems, potentially limiting its use in more complex or unusual build scenarios.
Analysis
An editorial look at what each product does well and who it suits.
mlsqlNinja Build
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
Overall verdict
Ninja Build is considered a strong choice for users seeking a fast, reliable, and efficient build system. Its simplicity and focus on performance make it appealing to developers working on projects where build speed is critical.
Why this product is good
Ninja Build is a high-performance build system designed to handle complex build processes efficiently. It is known for its minimalistic yet powerful design, which allows for faster build times compared to traditional build systems like Make. Its approach to dependency tracking and parallelism is optimized for modern build environments, making it suitable for large codebases and incremental builds.
Recommended for
Ninja Build is recommended for developers working on large-scale projects with complex build processes, particularly in environments where build speed and efficiency are prioritized. It is especially beneficial for projects that are continuously integrated or require frequent incremental builds.
Share your experience with using mlsql and Ninja Build.
For example, how are they different and which one is better?
Social recommendations and mentions
Recommendations tracked on public social media and blogs since March 2021.
mlsql2 mentionsNinja Build23 mentions
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
I found this great resource here: https://github.com/paulfitz/mlsql.
Source:
almost 5 years ago
CMake Made Simple: A Reusable Template for Your First C++ Project
On Windows, download the binaries from the cmake and Ninja websites. After that, add the executables to your PATH.
- Source: dev.to
/
about 1 year ago
TypeScript's Successor is Waiting, and You'll Never Want to Turn Back
Under the hood, Rescript uses a build system called Ninja. Ninja is similar to Make, but cross-platform and more minimal/performant.
- Source: dev.to
/
almost 3 years ago
Ninja was super easy to pick up even after using make for some time (10+ years). GN is just a ninja generator that is optional. https://gn.googlesource.com/gn/+/main/docs/quick_start.md https://ninja-build.org/.
- Source: Hacker News
/
almost 3 years ago
FriendlyData
GNU Make
SCons
npm
Meson
Ender
JSHint
MakeMe
