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Best 20+ Tools for Data Scientists in 2025

The Data Scientist uses advanced analytics, machine learning, and statistical methods to extract insights from complex data sets. They build predictive models, identify patterns, solve business problems, and provide data-driven recommendations to support strategic decision-making.

73 active tools
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LoginRadius

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LoginRadius is a tool that handles user identity and login management for your digital products. When someone visits your website or app, LoginRadius manages their registration, login, and account security. It offers multiple ways for users to sign in, including traditional passwords, social media accounts like Google or Facebook, or passwordless options like magic links.

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SuperTokens

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SuperTokens is an authentication framework that handles user login, registration, and session management for your applications. It provides ready-made solutions for email password login, social login through providers like Google and Facebook, passwordless authentication using magic links or one-time codes, and more.

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Magic

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Magic is a software development kit that helps developers add secure login systems to their applications. When a user wants to log in, they receive a one-time code via email or SMS instead of typing a password. This makes the login process faster and more secure.

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SlateDB

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SlateDB is an embedded storage engine that uses a log-structured merge-tree design and writes everything to cloud object storage. You include it as a library in your Rust applications, and it handles data storage through services like S3 or Google Cloud Storage.

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Qdrant

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Qdrant is a vector database that stores and searches high-dimensional data using advanced technology. Unlike traditional databases that store exact text or numbers, Qdrant works with vectors—mathematical representations of complex information. This makes it perfect for finding similar items based on meaning rather than exact matches.

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SinglebaseCloud

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SinglebaseCloud is a complete backend platform that lets you build AI applications with modern features. It provides a vector database for storing AI embeddings, a NoSQL database for regular data, user authentication, file storage, and AI tools like similarity search and RAG pipelines.

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SurrealDB

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SurrealDB is a database that handles multiple types of data storage without needing different database systems. Think of it as one tool that can work like a traditional database with rows and columns, a document store like MongoDB, and a graph database for connected data—all at the same time.

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Hydra

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Hydra is a serverless analytics database that runs on Postgres. It uses columnar storage to compress your data by up to 15 times, which makes queries much faster and storage much cheaper. The platform automatically scales computing power up or down based on your needs, so you never pay for resources you're not using.

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Weaviate

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Weaviate is a database designed specifically for AI applications that need to understand the meaning behind data. Unlike regular databases that only match exact words, Weaviate can find information based on what you mean, not just what you type.

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Turso

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Turso is a database service that takes SQLite and makes it ready for large-scale production use. You can create as many databases as you need, and they work just like SQLite but with added cloud features. Each database can be replicated to different parts of the world, making your app faster for users everywhere.

Best 20+ Tools for Data Scientists in 2025