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CoCalc

Collaborative Calculation and Data Science.

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CoCalc

CoCalc Reviews and Details

This page is designed to help you find out whether CoCalc is good and if it is the right choice for you.

Screenshots and images

  • CoCalc Landing page
    Landing page //
    2023-07-29

Features & Specs

  1. Collaboration

    CoCalc offers real-time collaboration, allowing multiple users to work on the same project simultaneously, making it ideal for group projects and teaching.

  2. Integration with Jupyter Notebooks

    It supports Jupyter Notebooks, which are popular for data analysis and scientific computing, allowing users to easily share and execute their code.

  3. Reproducibility

    CoCalc provides tools to help ensure that computational results can be easily reproduced, supporting both academic research and educational settings.

  4. Wide Range of Tools

    The platform supports several programming languages and tools, including LaTeX, Python, R, and SageMath, offering a versatile working environment.

  5. Accessibility

    As a cloud-based platform, CoCalc is accessible from anywhere with an internet connection, allowing users to work remotely.

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Videos

Real-time collaboration with Jupyter notebooks using CoCalc- William Stein (SageMath, Inc)

An overview of CoCalc

CoCalc: Making open source data analysis software more collaborative

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about CoCalc and what they use it for.
  • Hetzner introduces GPU server for AI training
    CoCalc offers On-Demand GPU servers with H100s starting at $2.01 per hour (metered per second) through its integration with Hyperstack... It also has more budget-friendly options, like RTX A4000s at $0.18 per hour. https://cocalc.com/features/compute-server In case you are not familiar, CoCalc is a real-time collaborative environment for education and research that you can access via your web browser at... - Source: Hacker News / over 1 year ago
  • Show HN: Adding Mistral Codestral and GPT-4o to Jupyter Notebooks
    Thank you for the list - I think I've come across all of these in my research! I'll try highlight the differences for each. - https://noteable.io/ - as you say, it doesn't exist anymore - https://deepnote.com - I actually mentioned this in the post but in my experience, the UX and features far behind what we've built already. I'd love to hear from anyone who's tried jupyter-ai to give us a shot and let me know... - Source: Hacker News / almost 2 years ago
  • Show HN: Adding Mistral Codestral and GPT-4o to Jupyter Notebooks
    - https://cocalc.com -- very extensive AI integration everywhere with all the main hosted models, mostly free or pay as you go; also has realtime collaboration. (Disclaimer: I co-authored this.). - Source: Hacker News / almost 2 years ago
  • Show HN: I made a better Perplexity for developers
    Is there something like this (maybe this?) that provides an API so I can integrate it like any other model into my own website (in this case, https://cocalc.com)? I tried asking the Phind.com devs, but got ignored. - Source: Hacker News / about 2 years ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Cocalc.com โ€” (formerly SageMathCloud at cloud.sagemath.com) โ€” Collaborative calculation in the cloud. Browser access to full Ubuntu with built-in collaboration and lots of free software for mathematics, science, data science, preinstalled: Python, LaTeX, Jupyter Notebooks, SageMath, scikitlearn, etc. - Source: dev.to / over 2 years ago
  • Ask HN: What is going on regarding quality of service for API access to LLM's?
    I saw in the latest ChatGPT plus announcements that you get better speed if you pay them $20/month. This made me wonder how the speed of the plus version of ChatGPT compares to the API that we pay for (to integrate ChatGPT into https://cocalc.com). We have had solid usage over the last 2 months, and I keep track of exactly how long the complete response takes for each api request. I just checked the stats and... - Source: Hacker News / almost 3 years ago
  • A list of apps that helped me through my "de-Googling" process
    Google Colab: CoCalc offers an online, computational notebook experience that could be comparable to Colab. It was initially funded by Google and the NSF, but is mostly funded by paying users these days. Source: about 3 years ago
  • Gpt4free repo given takedown notice by OpenAI
    They put my site https://cocalc.com, which has chatgpt API integration, into this gpt4free. As a result, I had to modify https://cocalc.com to require sign in before providing the ChatGPT functionality to visitors, and I also explicitly updated our terms of service to clarify how our API can be used. I made a pull request - Source: Hacker News / about 3 years ago
  • Ask HN: Who has deployed commercial features using GPT4?
    1. I'm integrating ChatGPT extensively into https://CoCalc.com. This integration makes a lot of sense, because cocalc is a platform in which relatively inexperienced students use Jupyter notebooks, linux terminals and Latex. So far, the most popular feature by far is a "Help me fix this" button that appears above stacktraces in Jupyter notebooks. 2. One software engineering challenges is that ChatGPT often... - Source: Hacker News / about 3 years ago
  • Codon: A high-performance Python compiler
    What I want to know is: "can I add Codon to a site like https://cocalc.com that I host as long as users of Codon explicitly agree to only use it in a way that is compatible with the license?" I have absolutely no idea if that would be allowed by the rules or not. - Source: Hacker News / over 3 years ago
  • free-for.dev
    Cocalc.com โ€” (formerly SageMathCloud at cloud.sagemath.com) โ€” Collaborative calculation in the cloud. Browser access to full Ubuntu with built-in collaboration and lots of free software for mathematics, science, data science, preinstalled: Python, LaTeX, Jupyter Notebooks, SageMath, scikitlearn, etc. - Source: dev.to / over 3 years ago
  • Ask HN: Why hasn't the Deep Learning community embraced Julia yet?
    We offer Julia at https://cocalc.com both via Jupyter notebooks and Juliaโ€™s own Pluto notebooks. That said, Julia tends to be a lot more memory intensive than other language we support, so the free tier is not as useful. - Source: Hacker News / over 3 years ago
  • SelfHosted Calculator (Math, Physics)
    Also, here is the link to the official CoCalc site. Link: "https://cocalc.com/". The Docker version I linked above is a minimal version of this site (but still quite comprehensive for a home lab). Source: over 3 years ago
  • Is there any solution in Texmaker to calculate Logarithmic Integral Function Li?
    Log_integral is a function built into SageMath, a free computational mathematics language built on top of Python as a freeware alternative to Mathematica, MATLAB, and Maple. I have used it extensively. It is available for free download or with a free account on their online platform CoCalc. The free account has limited server time, so complex computations tend to be slow, but it'll get the job done. Also, see my... Source: almost 4 years ago
  • Easiest way to run Jupyter Notebooks?
    It may also be worth looking at cocalc https://cocalc.com/ from sagemath. It does all the Jupyter notebook stuff (and a TON more), and has collaboration tools. This will require a free account, but the trade off may be worth it. They also have a bunch of stuff focused around education. Source: almost 4 years ago
  • Need some starting advice
    Something you might find helpful with Python is creating a Jupyter notebook (you can create one for free online here: https://cocalc.com/). Source: almost 4 years ago
  • Render mathematical expressions in Markdown On GitHub
    There's currently around 100 LaTeX functions listed as "Not supported" in the Katex docs at https://katex.org/docs/support_table.html I've been trying hard for a while with my site (https://cocalc.com) to use only katex, but that's definitely never going to happen. Users frequently hit missing functionality, e.g., they have lots of notebooks that use "\mbox", so it's critical to support full mathjax. I... - Source: Hacker News / about 4 years ago
  • Ask HN: What ML platform are you using?
    I see some great recommendations in the thread already, but I think https://cocalc.com is definitely worth checking out if you consider yourself to still be more of a learner. Their focus seems to really be on helping people who are new to the field get started. It offers familiar Jupyter Notebook-like features so you should feel right at home. I have no affiliation with them whatsoever :) Just a fan of what... - Source: Hacker News / about 4 years ago
  • Unix in the Browser Tab
    What's different about this compared to something like CoCalc? There I get a fully functioning Linux terminal on typically a Ubuntu disruption (so backed up by a full OS), and a whole suite of other things like sagemath, R, Julia, Octave. Source: over 4 years ago
  • Can you run R Studio on an iPad?
    There are also a few browser options that you don't need an account for like https://rdrr.io/ and https://cocalc.com/ if you don't need to do heavy lifting. Source: over 4 years ago
  • Why is Maple a thing?
    You can also call PARI/GP using Sage too. I don't know why Sage having a strict superset of the features of GAP and PARI/GP combined makes it an ugly conglomeration; this is a positive in my mind. Also, being able to write in Jupyter notebooks with Sage is a very nice feature, especially for big projects. You can do this with GAP too, but it's not very nice whereas it comes preinstalled with Sage. As far as I... Source: over 4 years ago

Summary of the public mentions of CoCalc

CoCalc, formerly known as SageMathCloud, is a cloud-based platform designed for collaborative computing, education, and research. It offers diverse features and functionalities that cater to users' needs in mathematics, programming, teaching, and collaboration. This summary aims to provide an objective overview of the public perception of CoCalc as gleaned from various product mentions and relevant discussions.

Key Features and Capabilities

CoCalc is praised for its comprehensive suite of tools, effectively combining the functionalities of Jupyter Notebooks with additional capabilities that extend its potential uses. It supports multiple programming languages, such as Python, R, and Julia, making it appealing to a wide range of users in the scientific and educational communities. The platform also provides access to powerful computational resources, including on-demand GPU servers, which enhance its appeal for resource-intensive tasks such as AI training. Its integration with LaTeX and computer algebra systems further bolsters its utility, especially for users involved in complex mathematical computations and documentation.

Usability and User Experience

The collaborative aspect of CoCalc is frequently highlighted. Users appreciate its ability to facilitate real-time collaboration, which is especially beneficial in educational settings where instructors and students can interact seamlessly. CoCalc's interface is noted for its differences from traditional Jupyter Notebooks, potentially offering a fresh user experience for those accustomed to the more standard notebook environments. Moreover, CoCalcโ€™s integration with chat-based helper tools like ChatGPT introduces innovative educational utilities, such as "Help me fix this" features, which are reportedly popular among students.

Comparative Advantage and Integration Challenges

In comparison to its competitors, such as Google Colab and PythonAnywhere, CoCalc positions itself as a versatile platform emphasizing collaboration and comprehensive feature sets. One distinction is its broader support for different teaching and research tools, such as SageMath and various Linux distributions, directly through the web browser. However, despite its strengths, some potential users have mentioned initial hesitations or unfamiliarity with its interface, favoring platforms that maintain closeness to more traditional environments like Jupyter.

Commercial and Licensing Considerations

CoCalc provides a mixture of free and paid services, catering to both budget-conscious users and those requiring extensive computational resources. While its free tier is viewed favorably, there are limitations, such as reduced server time for complex computations and memory-intensive operations, which may affect its usefulness for demanding tasks. The platformโ€™s business model, which transitioned from initial funding by Google and the NSF to a user-funded model, reflects its maturation and independence as a SaaS offering.

Integration with External Tools

CoCalc is noted for effectively integrating APIs and external projects into its environment, such as the integration of machine learning tools. This openness is demonstrated in its responsive approach to requests from other projects, showcasing a respect for community feedback and collaboration.

In summary, CoCalc is regarded as a robust and versatile platform for collaborative computing and education. Its broad feature set, coupled with powerful computational resources and innovative teaching tools, positions it as a strong competitor in its field, despite certain challenges in user adaptation and intensive computations.

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Is CoCalc good? This is an informative page that will help you find out. Moreover, you can review and discuss CoCalc here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.