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Twist VS Jupyter

Compare Twist VS Jupyter and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Twist logo Twist

Check fewer notifications, do more meaningful work. Twist is the team communication app for calmer, more organized, and more productive teamwork.

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.
  • Twist Landing page
    Landing page //
    2023-04-17
  • Jupyter Landing page
    Landing page //
    2023-06-22

Twist features and specs

  • Asynchronous Communication
    Twist is designed for asynchronous communication, which can help teams focus on deep work without constant interruptions.
  • Threaded Conversations
    The platform organizes discussions into threads, making it easier to follow and reference past conversations.
  • Searchable History
    Twist offers robust search capabilities, allowing users to easily find past messages and files.
  • Integrations
    Twist supports integrations with other tools like Google Drive, Trello, and GitHub, streamlining workflows.
  • Focus on Work-Life Balance
    Twist promotes a healthier work-life balance by reducing the pressure to respond immediately, unlike real-time chat tools.

Possible disadvantages of Twist

  • Learning Curve
    New users may find the interface and the concept of asynchronous communication challenging to get used to initially.
  • Limited Real-Time Capabilities
    For teams that require instant communication, Twist's emphasis on asynchronous messaging can be a drawback.
  • Less Popular
    Compared to other collaboration tools like Slack, Twist has a smaller user base, which might limit community support and third-party integrations.
  • Cost
    While there is a free version, advanced features are available only in the paid plans, which might be a consideration for budget-conscious teams.
  • Notification System
    Some users report that Twist's notification system can be less intuitive or less immediate compared to real-time chat platforms.

Jupyter features and specs

  • Interactive Computing
    Jupyter allows real-time interaction with the data and code, providing immediate feedback and making it easier to experiment and iterate.
  • Rich Media Output
    It supports output in various formats including HTML, images, videos, LaTeX, and more, enhancing the ability to visualize and interpret results.
  • Language Agnostic
    Jupyter supports multiple programming languages through its kernel system (e.g., Python, R, Julia), allowing flexibility in the choice of tools.
  • Collaborative Features
    It enables collaboration through shared notebooks, version control, and platform integrations like GitHub.
  • Educational Tool
    Jupyter is widely used for teaching, thanks to its easy-to-use interface and ability to combine narrative text with code, making it ideal for assignments and tutorials.
  • Extensibility
    Jupyter is highly extensible with a large ecosystem of plugins and extensions available for various functionalities.

Possible disadvantages of Jupyter

  • Performance Issues
    For larger datasets and more complex computations, Jupyter can be slower compared to running scripts directly in a dedicated IDE.
  • Version Control Challenges
    Managing version control for Jupyter notebooks can be cumbersome, as they are not plain text files and include metadata that can make diffing and merging complex.
  • Resource Intensive
    Running Jupyter notebooks can be resource-intensive, especially when working with multiple large notebooks simultaneously.
  • Security Concerns
    Because Jupyter allows code execution in the browser, it can be a potential security risk if notebooks from untrusted sources are run without restrictions.
  • Dependency Management
    Managing dependencies and ensuring that the notebook runs consistently across different environments can be challenging.
  • Less Suitable for Production
    Jupyter is often considered more as a research and educational tool rather than a production environment; transitioning from a notebook to production code can require significant refactoring.

Twist videos

+ Add

Twist | Full Review: Slack Killer?!

More videos:

  • Review - These are still LEGAL! Twist Disposable Pods Review!
  • Review - Twist Review: Features, Pricing & Thoughts

Jupyter videos

+ Add

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 Twist and Jupyter)

Twist

Jupyter

Communication
100 100%
Communication
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Productivity
100 100%
Productivity
0% 0
Data Dashboard
0 0%
Data Dashboard
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 Twist and Jupyter

Twist Reviews

15 Best Instant Messaging Apps for Business
Twist organizes all team communication in one central location. Team conversations can be grouped by channels that can be public or private, and messages can be sent without interfering with thread discussions.
Source: clariti.app
14 of the Best Slack Alternatives for 2022
Twist is the communication software ideal for asyncronous teams. Its model moves away from real-time conversations into "deeper, structured communication" via their "Threads" feature. Instead of a group chat, users must designate a specific "thread" for conversations related to that topic. One-on-one and small group chat is also available for conversations that don't require...
Source: blog.hubspot.com
Twist vs Slack: The Calmer Way to Work
Related articles Twist vs. Email: The More Organized Way to Work What are the benefits of using Twist with Todoist? How guests work in Twist How to use Twist and Todoist together Access & Security FAQs
Source: twist.zendesk.com

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

Social recommendations and mentions

Based on our record, Jupyter should be more popular than Twist. It has been mentiond 216 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.

Twist mentions (22)

  • Shopify is acquiring the Threads team
    If you are looking for an alternative that’s even more async than Threads, check out https://twist.com/ We (Doist) have been developing it since 2015. - Source: Hacker News / 12 months ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Twist.com — An asynchronous-friendly team communication app where conversations stay organized and on-topic. Free and Unlimited plans are available. Discounts are provided for eligible teams. - Source: dev.to / over 1 year ago
  • Atlassian to buy Loom for nearly $1B
    Doist Inc. With Twist (https://twist.com). A sane replacement for slack that focus on making your life easier, and get actual job done by levering the concept of "threads" s first-class citizen that bridge the gap between instant chat where direct communication is needed and task manager where you need to declare a discussion to be open or closed. They side with the "Deep Work" philoshopy, and encourage (written)... - Source: Hacker News / over 1 year ago
  • I don't want this to happen to my own startup. What do you recommend?
    I Use a system like Twist for internal communication that encourages thoughtful responses, allows you to search through it later to get to how decisions were arrived at, and doesn't distract you all day like slack does. Source: almost 2 years ago
  • Tips on avoiding distraction from a busy Slack help channel
    This may not be tenable depending on the size of your company, but back when my company was small we dumped Slack for Twist and I will literally never look back. I'll let you read Twist's website for their philosophy on workplace communication, but the main points relevant to you are:. Source: almost 2 years ago
View more

Jupyter mentions (216)

  • The 3 Best Python Frameworks To Build UIs for AI Apps
    Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / 2 months ago
  • LangChain: From Chains to Threads
    LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 3 months ago
  • Applied Artificial Intelligence & its role in an AGI World
    Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 4 months ago
  • Jupyter Notebook for Java
    Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 8 months ago
  • JIRA Analytics with Pandas
    One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / 11 months ago
View more

What are some alternatives?

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

Slack - A messaging app for teams who see through the Earth!

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.

Flock - A faster way for your team to communicate

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

Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.

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

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