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Please VS Easy ML for Java

Compare Please VS Easy ML for Java and see what are their differences

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Contents:
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Please logo Please

A Cross-Language Build System

Easy ML for Java logo Easy ML for Java

The easiest way to start with Machine Learning in Java
  • Please Landing page
    Landing page //
    2021-10-11
Not present

Please features and specs

  • Performance
    Please build offers high performance build speeds, which can significantly reduce build times compared to other tools. This is achieved through parallel execution and efficient incremental builds.
  • Flexibility
    Please is highly configurable and flexible, allowing developers to tailor the build system to fit a wide range of project requirements and workflows.
  • Cross-platform
    It supports cross-platform builds, enabling developers to use a single build system for projects targeting multiple operating systems.
  • Minimal Dependencies
    Please requires minimal external dependencies, which simplifies setup and reduces the potential for version conflicts and other dependency-related issues.
  • Open Source
    As an open-source tool, Please allows users to inspect, modify, and contribute to the codebase, fostering a collaborative community environment.

Possible disadvantages of Please

  • Steep Learning Curve
    New users might find Please build's configuration and scripting style challenging to learn, especially if they are not familiar with build systems.
  • Limited Ecosystem
    Compared to more established build tools, Please has a smaller ecosystem, which might result in fewer plugins, integrations, and community resources.
  • Complex Configuration
    For certain projects, the configuration might become complex, requiring careful management to maintain readability and manageability of build scripts.
  • Less Popular
    Please is not as widely adopted as some other build systems, potentially leading to fewer examples and support resources available online.

Easy ML for Java features and specs

No features have been listed yet.

Analysis of Easy ML for Java

Overall verdict

  • Easy ML for Java appears to be a lightweight, approachable library aimed at bringing machine learning capabilities to Java developers without requiring deep ML expertise or switching to Python-centric ecosystems. It seems suitable for developers who want to integrate basic ML functionality into existing Java applications with minimal overhead, though it likely lacks the depth, community support, and cutting-edge features of major frameworks like TensorFlow, PyTorch, or scikit-learn.

Why this product is good

  • Native Java implementation avoids the need for language interop or JNI bridges to Python-based ML libraries
  • Simpler API design makes it more accessible for Java developers without extensive ML background
  • Documentation via GitBook suggests an organized, readable learning path for newcomers
  • Lightweight footprint can be beneficial for integrating into existing Java-based systems without heavy dependencies
  • Good fit for educational purposes or prototyping simple ML concepts within a Java codebase

Recommended for

  • Java developers who want to experiment with ML without learning Python
  • Small to medium projects requiring basic classification, regression, or clustering functionality
  • Students or educators teaching foundational ML concepts using Java
  • Teams with existing Java infrastructure who need lightweight ML integration without major architectural changes
  • Prototyping and proof-of-concept work rather than production-grade, large-scale ML systems

Please videos

+ Add

Chinese March: 请你检阅 - Please Review

More videos:

  • Review - Hong Kong March: 请你检阅 - Please Review (Instrumental)
  • Review - 请你检阅 (March «Please, review»)

Easy ML for Java videos

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Category Popularity

0-100% (relative to Please and Easy ML for Java)

Please

Easy ML for Java

Action
100 100%
Action
0% 0
Artifical Intelligence
0 0%
Artifical Intelligence
100% 100
Front End Package Manager
100 100%
Front End Package Manager
0% 0
Machine Learning
0 0%
Machine Learning
100% 100

User comments

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Social recommendations and mentions

Based on our record, Please seems to be more popular. It has been mentiond 12 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Please mentions (12)

  • What I wish I knew about Python when I started
    Pip is a command line package manager that comes with Python, but it is definitely not the only package manager. Other tools like pipenv, poetry, pdm, conda, and even some third-party applications like please can all manage Python dependencies. One common mistake beginners make is installing Python, and then running pip install (or even worse, sudo pip install), before moving forward. While this works in the... - Source: dev.to / over 1 year ago
  • Top programming languages created in the 2010's on GitHub by stars
    I’m not sure a JS library qualifies as a PL. Or automation software (SoftStack). Or an API description language. Or a build system. Source: over 3 years ago
  • Just Use a Monorepo
    Regarding your first point, a good alternative to Bazel is [Please][https://please.build/] - its build graph can solve exactly this problem in CI. - Source: Hacker News / over 3 years ago
  • Need to know about various distributed build tools available
    Checkout: https://please.build/ - CMake is not directly supported, but you can easily extend please.build to invoke cmake commands to build your targets. - It does supports both Windows(ehweee) and Linux - MIT - BONUS: it is fast. Really fast(||)! Single binary. It is also versatile. I am using it to build a repo with multiple programming languages(C++(Wasm),Go,Js, Flutter), while spinning up vagrant and... Source: almost 4 years ago
  • When to Use Bazel?
    > the best way forward is to take the ideas of Bazel (hermetic and deterministic builds) and package them as a good small build system, perhaps even compatible with Bazel so you don't have to rewrite build rules all the time. How does https://please.build measure up? - Source: Hacker News / almost 4 years ago
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Easy ML for Java mentions (0)

We have not tracked any mentions of Easy ML for Java yet. Tracking of Easy ML for Java recommendations started around Jan 2023.

What are some alternatives?

When comparing Please and Easy ML for Java, you can also consider the following products

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GNU Make - GNU Make is a tool which controls the generation of executables and other non-source files of a program from the program's source files.

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Epsilon Corp. - Epsilon Corp is an Addictive, Action-Adventure, Horror, Survival, First-person Exploration and Single-player video game developed by Alexandr Kataev and published by Jack Twin.

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