Alternatives
Products that do what Modelbit does
Heroku for Data Science, from the founders of Periscope Data
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- 2DM
2021 · github.com
- 3DA
Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…
2020
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2021 · appliku.com
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2019 · github.com
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- 10IM
Heya HN, after spending +1 year building an ML-driven analytics product (that didn't pan out unfortunately), I've pivoted to solving a problem my team and I found while building the previous product … why the hell is it so hard to move a model from a Jupyter notebook, to a development server, then to a production pipeline!? To solve this my team and I started the open source KitOps project under the Apache 2 license. KitOps includes the Kit CLI that uses a Kitfile manifest to create ModelKits: 1. The kit CLI packages your model, datasets, code, and configuration into an OCI compliant…
2024 · kitops.ml
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2020 · modelzoo.dev
- 19BA
Hi fellow HNers, We just opened up Bitdeli for free public beta at https://bitdeli.com Bitdeli allows you to process real-time data with plain Python scripts and access the results over a friendly HTTP API. You can use it to create live visualizations and dashboards without having to worry about servers. See examples here: http://bl.ocks.org/2009621 and http://bl.ocks.org/1983818 We would love to hear your feedback and comments!
2012
- 20PS
Hi HN! I've been struggling to deploy AI models in previous projects and thought it would be fun to merge serverless and AI. It's still a prototype: https://predictsh.herokuapp.com/
2018
- 21RN
Hello HN. We're happy to show to the world a platform that we've created to help our students get started with Data Science: https://notebooks.rmotr.com/ We know how hard it is to start working with Data Science tools: setting up local environment, installing dependencies, keeping projects organized, etc. RMOTR Notebooks has Jupyter Lab already preinstalled + the ability to upload datasets. Our platform is now open to everybody for free, and we are thinking about adding paid tiers in the future with better hardware, GPU support, pro features, etc. We've also worked on a…
2018
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2020 · repobus.com
- 23KP
Hi HN - the founders of kyso here. Kyso (https://kyso.io) is a blogging platform for data science. We render your jupyter notebooks, including all code, interactive visualisations and rich markdown, as awesome data blogs. Upload existing notebooks, import your repos from Github and start brand new Jupyterlab environments in the cloud, all for free. And then publish and share your blogs with the community! Have a look here for a few example posts on our platform: https://kyso.io/jamesle/fifa18…
2018
- 24DA
Hi. :) I’m Andrey, the creator of dstack. I started this project while I was working at JetBrains where I helped the PyCharm team to improve support for Jupyter notebooks. As I was in close contact with many ML devs (who used PyCharm) I was able to see their struggle with running ML workflows. Unlike traditional dev workflows, ML workflows are difficult to run on a local machine (due to the lack of memory, more CPUs/GPUs, etc). This is why people often have to use remote machines (e.g. via SSH), or adopt one of the end-to-end MLOps platforms. Using remote machines is not difficult but…
2022 · github.com
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