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Jupyter VS PangeaMT

Compare Jupyter VS PangeaMT and see what are their differences

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  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

PangeaMT logo PangeaMT

Our mission is to translate and anonymise the world’s content, combining human and artificial intelligence.
  • Jupyter Landing page
    Landing page //
    2023-06-22
  • PangeaMT Landing page
    Landing page //
    2023-08-23

Our clients use us to create private translation and data environments for their data sovereignty. We provide scalable AI-augmented language services for actionable insights. Whether you need to translate millions of documents or sentences a day for data mining, forensic evidence, in the health or news sectors, PangeaMT is your solution. We adapt our generic engines to your specific terminology and style at lightening-fast speed. Our anonymisation tool works with or without translation so your users’, patients’ and clients’ records comply with privacy regulations.

Jupyter videos

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What is Jupyter Notebook?

More videos:

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

PangeaMT videos

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Sony & PangeaMT: "Moving on with MT: building open source MT with your vendor and serving it"

More videos:

  • Review - Manuel Herranz: PangeaMT -- Empowering Users to Communicate Through MT. META-FORUM 2013

Category Popularity

0-100% (relative to Jupyter and PangeaMT)

Jupyter

PangeaMT

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Data Experts
0 0%
Data Experts
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Machine Learning
0 0%
Machine Learning
100% 100

User comments

Share your experience with using Jupyter and PangeaMT. For example, how are they different and which one is better?
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Reviews

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

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.
Source: searchbusinessanalytics.techtarget.com
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.
Source: towardsdatascience.com

PangeaMT Reviews

We have no reviews of PangeaMT yet.
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Social recommendations and mentions

Based on our record, Jupyter seems to be more popular. It has been mentiond 206 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.

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 / 1 day 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 / 22 days ago
  • Let’s build AI-tools with the help of AI and Typescript!
    Jupyter Lab web-based interactive development environment. - Source: dev.to / about 1 month 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 / 28 days 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 / 2 months ago
View more

PangeaMT mentions (0)

We have not tracked any mentions of PangeaMT yet. Tracking of PangeaMT recommendations started around Mar 2021.

What are some alternatives?

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

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.

SYSTRAN - Use SYSTRAN Translate, the first free online translator providing in-domain translation models trained by a network of worldwide experts

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

Tilde - Free, instant meeting rooms for all your collaborative needs

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

KantanMT - KantanMT is a complete machine translation platform.

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