Open-source data science tools need to catch up with advances in compute. A key challenge today is that open-source data science tools are unable to keep up with advances in compute hardware. The ...

Developers and data scientists use generative AI and large language models (LLMs) to query volumes of documents and unstructured data. Open source LLMs, including Dolly 2.0, EleutherAI Pythia ...

Thousands of open-source Python, R, and Conda packages provide data science practitioners with the building blocks they need to create models and applications using predictive analytics, natural ...

The world of data science tools is growing to support this demand. Just a few years ago, data scientists worked with the command line and a few good open source packages.

Python’s rich ecosystem of data science tools is a big draw for users. The only downside of such a broad and deep collection is that sometimes the best tools can get overlooked.

Open-source data science platform provider Knime AG said today it has closed on a new, $30 million investment from its longtime backer Invus.The round is the first major investment the company has ...

Nearly 90% of the 3,493 respondents to Anaconda’s survey indicate they use open source software in their organizations. Anaconda’s distribution of Python and R tools is one heavily used open source ...

Anaconda Inc., the developer of an open-source data science platform, today announced a unified artificial intelligence development platform purpose-built for use with open-source software.The Ana ...

Although adoption of open-source tools for data science is strong, the reality is that open source remains undermanaged across the enterprise. For example, Anaconda's 2020 State of Data Science report ...

From verifying the quality of incoming data to improving the quality of existing data, open-source data quality solutions can benefit your organization. Image: your123/Adobe Stock Given the ...