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pre-commit by Yelp VS Apache Zeppelin

Compare pre-commit by Yelp VS Apache Zeppelin and see what are their differences

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pre-commit by Yelp logo pre-commit by Yelp

A framework for managing and maintaining multi-language pre-commit hooks

Apache Zeppelin logo Apache Zeppelin

A web-based notebook that enables interactive data analytics.
  • pre-commit by Yelp Landing page
    Landing page //
    2022-01-08
  • Apache Zeppelin Landing page
    Landing page //
    2023-07-21

pre-commit by Yelp features and specs

  • Comprehensive Hook Management
    Pre-commit provides a robust framework to manage and configure git hooks in a standardized way, simplifying the process of ensuring code quality.
  • Language Agnostic
    Supports hooks written in all kinds of languages including Python, Ruby, JavaScript, etc., making it versatile and adaptable to any codebase.
  • Ease of Setup
    Installing and configuring pre-commit hooks is straightforward, often just involving the addition of a simple configuration file to the repository.
  • Version Control
    Pre-commit ensures that the same versions of hooks are consistently run across developers' environments by locking the version of each hook.
  • Centralized Configuration
    Project-wide configuration means that all contributors use the same hooks and settings, fostering code consistency and quality.

Possible disadvantages of pre-commit by Yelp

  • Learning Curve
    New users might face a learning curve initially when setting up a configuration file and understanding how to integrate it with existing workflows.
  • Performance Overhead
    Running hooks can add a noticeable delay when committing code, especially in larger projects with many hooks.
  • Dependency Management
    Some hooks might introduce additional dependencies that need to be managed within the project's environment.
  • Complex Configuration for Advanced Use
    While simple setups are easy, more complex configurations can become intricate and harder to manage.
  • Limited to Pre-defined Hooks
    If a desired hook isn't available, users may have to create their own, which can require additional effort and maintenance.

Apache Zeppelin features and specs

  • Interactive Data Exploration
    Apache Zeppelin supports interactive data exploration and visualization. Users can write code in multiple languages (e.g., SQL, Python, R) and immediately see the results, enabling dynamic data analysis.
  • Multi-language Support
    Zeppelin supports multiple languages and backend systems through its interpreters, including Apache Spark, Python, JDBC, and more. This makes it versatile for data scientists and analysts who work with different technologies.
  • Collaborative Environment
    Zeppelin provides a collaborative environment where multiple users can share notebooks and insights. This fosters team collaboration and enhances productivity among data teams.
  • Integration with Big Data Tools
    Zeppelin integrates well with big data tools like Apache Spark, Hadoop, and various data storage solutions, making it an excellent choice for large-scale data processing and analysis tasks.
  • Custom Visualizations
    Users can create rich, custom visualizations with Zeppelin's built-in visualization tools or by leveraging libraries like D3.js. This helps in presenting data insights in a more understandable and visually appealing manner.

Possible disadvantages of Apache Zeppelin

  • Steeper Learning Curve
    For beginners, the learning curve for Apache Zeppelin can be quite steep, especially if they are not familiar with the command-line interface or the underlying technologies like Apache Spark or Hadoop.
  • Performance Issues
    Zeppelin can face performance issues when handling very large datasets or complex visualizations, potentially leading to slower response times or the need for significant hardware resources.
  • Limited Language Support
    While Zeppelin supports multiple languages through its interpreters, it doesn't support as many languages as some other data science tools, which could be a limitation for some users.
  • Security Concerns
    Since Apache Zeppelin allows code execution on the server, there are inherent security risks. Proper security measures must be in place to prevent unauthorized access and code execution, which can complicate setup and maintenance.
  • Dependency Management
    Managing dependencies and interpreter configurations in Zeppelin can be cumbersome, particularly in complex projects with multiple dependencies. This can lead to configuration drift and other maintenance challenges.

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Category Popularity

0-100% (relative to pre-commit by Yelp and Apache Zeppelin)

pre-commit by Yelp

Apache Zeppelin

Git
100 100%
Git
0% 0
Office & Productivity
0 0%
Office & Productivity
100% 100
Code Collaboration
100 100%
Code Collaboration
0% 0
IDE
0 0%
IDE
100% 100

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Reviews

These are some of the external sources and on-site user reviews we've used to compare pre-commit by Yelp and Apache Zeppelin

pre-commit by Yelp Reviews

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Apache Zeppelin Reviews

12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Apache Zeppelin is an open-source platform for data science and analytics that is similar to Jupyter Notebooks. It allows users to write and execute code in a variety of programming languages, as well as include text, equations, and visualizations in a single document. Apache Zeppelin also has a built-in code editor and supports a wide range of libraries and frameworks,...
Source: noteable.io
The Best ML Notebooks And Infrastructure Tools For Data Scientists
Apache Zeppelin is another web-based open-source notebook popular among data scientists. The platform supports three languages – SQL, Python, and R. Zeppelin also backs interpreters such as Apache Spark, JDBC, Markdown, Shell, and Hadoop. The built-in basic charts and pivot table structures help to create input forms in the notebook. Zeppelin can be shared on Github and...
Source: analyticsindiamag.com

Social recommendations and mentions

Based on our record, pre-commit by Yelp seems to be a lot more popular than Apache Zeppelin. While we know about 152 links to pre-commit by Yelp, we've tracked only 9 mentions of Apache Zeppelin. 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.

pre-commit by Yelp mentions (152)

  • How one bad coder made our stack unbreakable
    The time he hardcoded a token into the repo? → That’s when we finally added Git hooks and implemented secret scanning. - Source: dev.to / about 5 hours ago
  • Python MCP Remote Server — The Dawn of the Streamable HTTP Era ~ With a Minimalist Template Featuring uv / Docker / pytest ~
    Pre-commit: A framework for automatically running predefined checks (hooks) before Git commits (official website). pre-commit itself is also installed as a development dependency with uv pip install -e ".[dev,test]". To start using it, run pre-commit install once in the repository root. This sets up the Git hooks, and checks will run automatically on subsequent commits. - Source: dev.to / 7 days ago
  • Scalable Python backend: Building a containerized FastAPI Application with uv, Docker, and pre-commit: a step-by-step guide
    Pre-commit is a framework for managing and maintaining multi-language pre-commit hooks, ensuring consistency and quality in your codebase by running checks before a commit is finalized. - Source: dev.to / 4 months ago
  • Crafting a Custom SAM Template for Your AWS Lambda Function, Resource, and Operations
    Just give you an idea of how to implement a template for serverless in your organization; you can create multiple cases and embed the practice of your organization to the template like pre-commit, cicd, lambda-layer-secret, lambda-layer-powertools and more. - Source: dev.to / 5 months ago
  • 12 Steps to Organize and Maintain Your Python Codebase for Beginners
    Instead of running these tools manually every time you make changes, you can automate the process with pre-commit hooks. Pre-commit hooks run automatically before each commit, blocking the commit if any tool fails. - Source: dev.to / 7 months ago
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Apache Zeppelin mentions (9)

  • 📊 Visualise Presto Queries with Apache Zeppelin: A Hands-On Guide
    In the previous article, we explored the installation of Presto. Building on that foundation, it's time to take your data exploration one step further by integrating Presto with Apache Zeppelin, a powerful web-based notebook that allows interactive data analytics. - Source: dev.to / 6 days ago
  • Serverless Data Processing on AWS : AWS Project
    To do so, we will use Kinesis Data Analytics to run an Apache Flink application. To enhance our development experience, we will use Studio notebooks for Kinesis Data Analytics that are powered by Apache Zeppelin. - Source: dev.to / 6 months ago
  • Serverless Apache Zeppelin on AWS
    Now we can proceed with the definition of Apache Zeppelin. It is a web-based notebook that enables data-driven, interactive data analytics and collaborative documents with Python, Scala, SQL, Spark, and more. You can execute code and even schedule a job (via cron) to run at regular intervals. - Source: dev.to / over 1 year ago
  • Visualization using Pyspark Dataframe
    Have you tried Apache Zepellin I remember that you can pretty print spark dataframes directly on it with z.show(df). Source: about 3 years ago
  • Fast CSV Processing with SIMD
    I used to use Zeppelin, some kind of Jupyter Notebook for Spark (that supports Parquet). But it may be better alternatives. https://zeppelin.apache.org/. - Source: Hacker News / over 3 years ago
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What are some alternatives?

When comparing pre-commit by Yelp and Apache Zeppelin, you can also consider the following products

Python Poetry - Python packaging and dependency manager.

Now Platform - Get native platform intelligence, so you can predict, prioritize, and proactively manage the work that matters most with the NOW Platform from ServiceNow.

EditorConfig - EditorConfig is a file format and collection of text editor plugins for maintaining consistent coding styles between different editors and IDEs.

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

mypy - Mypy is an experimental optional static type checker for Python that aims to combine the benefits of dynamic (or "duck") typing and static typing.

Adobe Flash Builder - If you are facing issues while downloading your Creative Cloud apps, use the download links in the table below.

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