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The best alternatives to DataQuest Beta are Resume Worded, data.world, and GYANA. If these 3 options don't work for you, we've listed over 10 alternatives below.
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PromotedBest alternatives to DataQuest Beta
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- [2020 launch - Gyana 2.0 coming soon in April 2021!] VAYU was the first end-to-end tool for data science developed by Gyana. Import, prepare, analyze, visualize and share in just a few clicks. Build interactive reports, automate workflows and share templates.
- Deepnote is a new kind of data science notebook. Jupyter-compatible with real-time collaboration and running in the cloud.
- Graph-based notebook for researchers and data scientists. Build your knowledge base: structure, connect and explore all your research assets in one app.
- Orchest is an open source tool for interactively building data science pipelines. Check us out on GitHub to get started.
- TABLUM.IO is a DataPrep SaaS that quickly transforms any data file, such as CSV, JSON, XML, or spreadsheets, into a live SQL database, pipelined to your favorite analytics software. It makes data cleansed, normalized, and accessible via SQL without coding.
- Daisho is No-Code Data Science for Business Users and Problems. Select the problem you want to solve and point at the data: Daisho does the rest. Daisho automatically does the math, so you can focus on BUSINESS INSIGHTS.
- Setup is a data science company offering APIs and flat files for people intelligence. We build the best data products to connect, engage, and understand people. Leverage our database of 1.2 billion individuals to scale faster and more efficiently than ever before. For developers, by developers.
- Today’s data stack was built for yesterday’s software engineers. Data scientists deserve their own tools. Magniv is an open-source Python library that lets data scientists deploy apps independently, without relying on support from software engineers.
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- Percival is a declarative data query and visualization language. It provides a reactive, web-based notebook environment for exploring complex datasets, producing interactive graphics, and sharing results.
- Connect multiple data sources and store features in one place. Automate data pre-processing, feature engineering, and model training. Deploy your models with one click and monitor their performance in real-time. The easiest way to build AI-backed products.
- ditData is a data science automation platform that seeks to bring the same technology used by big companies to the ordinary founder & startups.
- Saturn Cloud is a data science and machine learning platform, as flexible as if you built it yourself. Seamlessly integrate with your existing environment and jump into features like cloud-hosted JupyterLab and RStudio, Python and R support, and more.
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- PrometheusML empowers any individual or company to quickly design, build, and deploy AI models. It guides the user and automates the entire process requiring no code or data science knowledge. Think of it as an assistant that makes building AI feel like Lego.
- - Streaming plus batch in a single pipeline platform - No Airflow - orchestration inferred from data - Try it free for 30 days, then $99 / TB of data ingested | unlimited free pipelines.
