Software Alternatives, Accelerators & Startups

Protocol Buffers VS Jupyter

Compare Protocol Buffers VS Jupyter and see what are their differences

Protocol Buffers logo Protocol Buffers

A method for serializing and interchanging structured data.

Jupyter logo Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
  • Protocol Buffers Landing page
    Landing page //
    2023-08-02
  • Jupyter Landing page
    Landing page //
    2023-06-22

Protocol Buffers videos

Protocol Buffers- A Banked Journey - Christopher Reeves

More videos:

  • Review - justforfunc #30: The Basics of Protocol Buffers
  • Review - Complete Introduction to Protocol Buffers 3 : How are Protocol Buffers used?

Jupyter videos

What is Jupyter Notebook?

More videos:

  • Tutorial - Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  • Review - JupyterLab: The Next Generation Jupyter Web Interface

Category Popularity

0-100% (relative to Protocol Buffers and Jupyter)
Configuration Management
100 100%
0% 0
Data Science And Machine Learning
Mobile Apps
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Protocol Buffers and Jupyter

Protocol Buffers Reviews

We have no reviews of Protocol Buffers yet.
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Jupyter Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io
7 best Colab alternatives in 2023
JupyterLab is the next-generation user interface for Project Jupyter. Like Colab, it's an interactive development environment for working with notebooks, code, and data. However, JupyterLab offers more flexibility as it can be self-hosted, enabling users to use their own hardware resources. It also supports extensions for integrating other services, making it a highly...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.
Source: noteable.io
15 data science tools to consider using in 2021
Jupyter Notebook's roots are in the programming language Python -- it originally was part of the IPython interactive toolkit open source project before being split off in 2014. The loose combination of Julia, Python and R gave Jupyter its name; along with supporting those three languages, Jupyter has modular kernels for dozens of others.
Top 4 Python and Data Science IDEs for 2021 and Beyond
Yep — it’s the most popular IDE among data scientists. Jupyter Notebooks made interactivity a thing, and Jupyter Lab took the user experience to the next level. It’s a minimalistic IDE that does the essentials out of the box and provides options and hacks for more advanced use.

Social recommendations and mentions

Based on our record, Jupyter seems to be a lot more popular than Protocol Buffers. While we know about 206 links to Jupyter, we've tracked only 18 mentions of Protocol Buffers. 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.

Protocol Buffers mentions (18)

  • How to Build a Video Call with Gemini Summarization
    You will notice the code above prints out an array of numbers that only mean something to you if you are an all-knowing AI. These numbers are generated using Google's Protocol Buffers (also refered to as protobuf). - Source: dev.to / 8 days ago
  • Demonstrating ArangoDB VelocyPack: A High-Performance Binary Data Format
    The compact nature of VelocyPack also benefits data transmission over networks. Smaller data sizes mean less bandwidth usage and faster transmission times, essential for distributed databases and applications that rely on real-time data. Protocol Buffers (Protobuf) by Google is another binary format with similar advantages; VelocyPack's integration with ArangoDB offers seamless usage within this specific database... - Source: dev.to / 19 days ago
  • Reducing flyxc data usage
    Flyxc messages are based on protocol buffers ("protobuf" if you want to sound cool). They are not human readable but much more compact and faster for computers to work with:. - Source: dev.to / about 1 month ago
  • Did OpenTelemetry deliver on its promise in 2023?
    > Aren’t a standard You mean like an IETF standard? That is true, although the specification is quite simple to implement. It is certainly a de-facto standard, even if it hasn’t been standardized by the IETF or IEEE or ANSI or ECMA. > inherently limits anything built on top of them to not be a standard either I’m not sure that strictly follows. https://datatracker.ietf.org/doc/html/rfc9232 for example directly... - Source: Hacker News / 5 months ago
  • How to Keep a History of MQTT Data With Node.js
    The MQTT protocol is widely used in IoT applications because of its simplicity and ability to connect different data sources to applications using a publish/subscribe model. While many MQTT brokers support persistent sessions and can store message history as long as an MQTT client is not available, there may be cases where data needs to be stored for a longer period. In such cases, it is recommended to use a time... - Source: dev.to / 6 months ago
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Jupyter mentions (206)

  • Interactive Visualizations of Rate-Limiting Algorithms
    Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / about 1 month ago
  • scrape-yahoo-finance
    JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / about 2 months ago
  • Let’s build AI-tools with the help of AI and Typescript!
    Jupyter Lab web-based interactive development environment. - Source: dev.to / 2 months ago
  • Scrape Redfin Property Data
    Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 2 months ago
  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 4 months ago
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What are some alternatives?

When comparing Protocol Buffers and Jupyter, you can also consider the following products

TOML - TOML - Tom's Obvious, Minimal Language

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Messagepack - An efficient binary serialization format.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Eno - Fast, human readable, plain-text data format

Google BigQuery - A fully managed data warehouse for large-scale data analytics.