Apache Ant
pants
Apache Ant | pants | |
---|---|---|
9 | 35 | |
406 | 3,098 | |
0.0% | 0.8% | |
7.7 | 9.8 | |
14 days ago | 7 days ago | |
Java | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Apache Ant
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My final take on Gradle (vs. Maven)
-- https://ant.apache.org/
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Want to Get Better at Java? Go Old School.
I will not suggest truly old-school Java programming. When I started in Java, we built Java classes with the javac command. This led to writing shell scripts to build complex projects and finally, Makefiles using the Unix and Windows commands make and nmake respectively. I remember being thrilled when the Ant utility came out and we had a pure Java build tool.
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I am about to write my first code but god has a different plan.
Didn't know that people still use Ant for building their source code.
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Better CI/CD caching with new-gen build systems
A build system is a program that orchestrates the execution of underlying tools such as compilers, code generators, test runners, linters and so on. Examples of build systems include the venerable Make, the JVM-centric Ant, Maven and Gradle, and newer systems such as Pants and Bazel (full disclosure: I am one of the maintainers of Pants).
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Build error when running 'nix build', running build steps by hand with 'nix develop' works
You are missing a dependency: antlr. You have ant instead, which is something completely different.
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QZ Tray: Impressão em impressoras térmicas pelo navegador
3) Recomendo realizar o download do JDK 7 ou superior, Apache Ant e Open SSL;
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what are the best resources to learn makefile and how to understand large codebases
make has many detractors, but I've shipped some fairly large projects using nothing but it as the build system. Once you've settled on a particular implementation of make, you can get a lot done with it. The pain comes in when you want to do even modestly interesting things and you need it to work on both GNU make and SysV (or BSD) make. Its syntax also speaks loudly as to the era which it's from, but the same could be (unfavorably) said of things like Visual Studio project files and Ant.
pants
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The xz attack shell script
> C/C++'s header system with conditional inclusion
Wouldn't it be more accurate to say something like "older build systems"? I don't think any of the things you listed are "modern". Which isn't a criticism of their legacy! They have been very useful for a long time, and that's to be applauded. But they have huge problems, which is a big part of why newer systems have been created.
FWIW, I have been using pants[0] (v2) for a little under a year. We chose it after also evaluating it and bazel (but not nix, for better or worse). I think it's really really great! Also painful in some ways (as is inevitably the case with any software). And of course it's nearly impossible to entirely stomp out "genrules" use cases. But it's much easier to get much closer to true hermeticity, and I'm a big fan of that.
0: https://www.pantsbuild.org/
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Monorepo + Microservices + Dependency Managment + Build system HELL
Does pants/bazel can help me?
- Pants 2: The ergonomic build system
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Go Dependency management in large company projects - How do you do it?
Hyper-large tech companies managing hyper-large monorepos using Bazel (google), buck (Facebook), please (thought machine), pants (Twitter, Foursquare & Square) enjoy them but also have a lot of resources devoted to running and maintaining it.
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Reason to use other Build Tool than Make?
Yeah there's definitely some alternatives out there. Pants is another one that has a lot of traction.
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Is it possible pickle a function with its dependencies?
You should look into pex, or it’s parent build system pants. A PEX (Python EXecutable) file can package up all your code including dependencies and run on another machine of similar OS with just an available compatible interpreter.
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Sanity check of my decision for "Iterative AI" (DVC, MLEM, CML) pipeline over Azure ML
We don't have the CD yet, but I think what I put in place counts as simple CI (even if incomplete)? Every push & PR trigger an azure pipeline, which runs pants. This install the dependencies from the lockfile, run some linters, uses DVC to pull the data necessary for tests, and run unit tests (mypy check is deactivated until I solve a weird error). Basically the same script runs on laptops cross-platform (one of us uses Max, one Ubuntu with GPU, one Ubuntu with CPU, the scripts runs on every platform). The only difference with CI is the installation of Pants and the gestion of Cache (needs to be downloaded in CI so it takes ~3min in CI versus 20 seconds on my laptop).
- Pants 2: fast, scalable, user-friendly build system for codebases of all sizes
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Maintain a Clean Architecture in Python with Dependency Rules
This has also been recently integrated in pants.
https://github.com/pantsbuild/pants/issues/13393
- Blazing fast CI with MicroVMs
What are some alternatives?
Apache Maven - Apache Maven core
Bazel - a fast, scalable, multi-language and extensible build system
Google Web Toolkit - GWT Open Source Project
megalinter - 🦙 MegaLinter analyzes 50 languages, 22 formats, 21 tooling formats, excessive copy-pastes, spelling mistakes and security issues in your repository sources with a GitHub Action, other CI tools or locally.
Quartz - Code for Quartz Scheduler
please - High-performance extensible build system for reproducible multi-language builds.
cglib - cglib - Byte Code Generation Library is high level API to generate and transform Java byte code. It is used by AOP, testing, data access frameworks to generate dynamic proxy objects and intercept field access.
pyflow - An installation and dependency system for Python
Gradle - Adaptable, fast automation for all
pyupgrade - A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.
pymake - Parse GNU Makefiles with Python. Work in progress!
Buck - A fast build system that encourages the creation of small, reusable modules over a variety of platforms and languages.