Best AI Data Analytics Tools for Python
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Compare the Top AI Data Analytics Tools that integrate with Python as of July 2025
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This a list of AI Data Analytics tools that integrate with Python. Use the filters on the left to add additional filters for products that have integrations with Python. View the products that work with Python in the table below.
What are AI Data Analytics Tools for Python?
AI data analytics tools are AI-powered software tools designed to analyze large datasets and identify patterns. They can be used for a wide range of tasks such as predicting customer demand, detecting fraud, or spotting trends in sales data.These tools typically use machine learning algorithms that enable them to adjust their predictions and recommendations over time.They also tend to be integrated with common business systems such as ERP or CRM software. Compare and read user reviews of the best AI Data Analytics tools for Python currently available using the table below. This list is updated regularly.
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1
Megaladata
Megaladata
Megaladata is the fastest low-code platform for advanced analytics, enabling business users to design and run end-to-end data workflows—ù, from ETL to ML, without coding or IT support. With visual design tools and ready-made components, it simplifies data integration, cleansing, and deep analysis. The platform supports both self-service and enterprise-grade systems, handling big data with high performance. IT has integrations with more then 50 of the main databases' software and online datasets, other then native compatibility with Micrsoft ecosystem and Python. Available as a desktop, server, or cloud solution, Megaladata is used across industries like banking, retail, logistics, and healthcare. Free, interactive training online courses help users solve real business problems efficiently.Starting Price: Free, Community Edition -
2
DataLab
DataLab
From CSV files and Google Sheets, data to Snowflake and BigQuery, DataLab seamlessly and securely connects to all of your data sources. DataLab’s AI Assistant scans the structure of your data, analyzes your previous activity, and leverages industry best practices to answer your questions with best-in-class accuracy. To ensure that you can fully trust the insights you’re uncovering, DataLab’s AI Assistant writes and runs code that you can seamlessly review, tweak, and share. Share work insights without exposing credentials or sensitive information. All data is encrypted at rest and in transit. Enjoy single sign-on via SAML or OIDC connections and sync your directory. Decide which users can take which actions within DataLab, and can access which workbooks and data assets. Our mission is to democratize data and AI skills for everyone. Companies and teams of every size use DataCamp to close their skill gaps and make better data-driven decisions.Starting Price: $4.92 per month -
3
PandaAI
PandaAI
PandaAI is an AI-driven platform that transforms natural language queries into actionable data insights, streamlining the data analysis process. It allows users to connect databases effortlessly, enabling instant report generation through agentic AI and text-to-SQL layers. Users can interact with their data using conversational AI, facilitating intuitive, human-like queries. It also supports team collaboration by allowing users to save responses as data snippets and share them with colleagues. To get started, users can install the pandasai Python library, set up their API key, load their datasets, and push them to the platform for analysis.Starting Price: €20 per month -
4
DataChain
iterative.ai
DataChain connects unstructured data in cloud storage with AI models and APIs, enabling instant data insights by leveraging foundational models and API calls to quickly understand your unstructured files in storage. Its Pythonic stack accelerates development tenfold by switching to Python-based data wrangling without SQL data islands. DataChain ensures dataset versioning, guaranteeing traceability and full reproducibility for every dataset to streamline team collaboration and ensure data integrity. It allows you to analyze your data where it lives, keeping raw data in storage (S3, GCP, Azure, or local) while storing metadata in inefficient data warehouses. DataChain offers tools and integrations that are cloud-agnostic for both storage and computing. With DataChain, you can query your unstructured multi-modal data, apply intelligent AI filters to curate data for training and snapshot your unstructured data, the code for data selection, and any stored or computed metadata.Starting Price: Free -
5
Fabi.ai
Fabi.ai
Fabi.ai is an AI-powered, collaborative data analysis platform. It helps data teams turn data into insights thanks to a seamless integration between SQL, Python, AI and no-code. From Fabi.ai, data teams can build and share interactive dashboards and reports, data apps, or lightweight data pipelines, pushing insights to Google Sheets and Slack.Starting Price: $199/month -
6
Microsoft 365 Copilot Analyst
Microsoft
Microsoft 365 Copilot Analyst is an advanced AI agent designed to transform raw data into valuable insights. By utilizing powerful data analysis capabilities, including Python coding, Analyst helps users make informed, data-driven decisions. It can process complex datasets, generate reports, and uncover trends, all while seamlessly integrating with Microsoft 365’s suite of tools. Analyst empowers users to automate data analysis, saving time and enabling businesses to make better strategic decisions based on real-time, accurate insights.Starting Price: $30/month -
7
FeatureByte
FeatureByte
FeatureByte is your AI data scientist streamlining the entire lifecycle so that what once took months now happens in hours. Deployed natively on Databricks, Snowflake, BigQuery, or Spark, it automates feature engineering, ideation, cataloging, custom UDFs (including transformer support), evaluation, selection, historical backfill, deployment, and serving (online or batch), all within a unified platform. FeatureByte’s GenAI‑inspired agents, data, domain, MLOps, and data science agents interactively guide teams through data acquisition, quality, feature generation, model creation, deployment orchestration, and continued monitoring. FeatureByte’s SDK and intuitive UI enable automated and semi‑automated feature ideation, customizable pipelines, cataloging, lineage tracking, approval flows, RBAC, alerts, and version control, empowering teams to build, refine, document, and serve features rapidly and reliably. -
8
Databricks Data Intelligence Platform
Databricks
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker. -
9
Avanzai
Avanzai
Avanzai helps accelerate your financial data analysis by letting you use natural language to output production-ready Python code. Avanzai speeds up financial data analysis for both beginners and experts using plain English. Plot times series data, equity index members, and even stock performance data using natural prompts. Skip the boring parts of financial analysis by leveraging AI to generate code with relevant Python packages already installed. Further edit the code if you wish, once you're ready copy and paste the code into your local environment and get straight to business. Leverage commonly used Python packages for quant analysis such as Pandas, Numpy, etc using plain English. Take financial analysis to the next level, quickly pull fundamental data and calculate the performance of nearly all US stocks. Enhance your investment decisions with accurate and up-to-date information. Avanzai empowers you to write the same Python code that quants use to analyze complex financial data. -
10
Quadratic
Quadratic
Quadratic enables your team to work together on data analysis to deliver faster results. You already know how to use a spreadsheet, but you’ve never had this much power. Quadratic speaks Formulas and Python (SQL & JavaScript coming soon). Use the language you and your team already know. Single-line formulas are hard to read. In Quadratic you can expand your recipes to as many lines as you need. Quadratic has Python library support built-in. Bring the latest open-source tools directly to your spreadsheet. The last line of code is returned to the spreadsheet. Raw values, 1/2D arrays, and Pandas DataFrames are supported by default. Pull or fetch data from an external API, and it updates automatically in Quadratic's cells. Navigate with ease, zoom out for the big picture, and zoom in to focus on the details. Arrange and navigate your data how it makes sense in your head, not how a tool forces you to do it. -
11
Definitive
Definitive
A one-shot prompt-to-visualization API that seamlessly integrates with enterprise & public data, enabling users to instantly & accurately retrieve visually rich answers to their questions. Enables enterprises to engage in dynamic conversations with their own data, fostering efficient collaboration and informed decision-making. Supports Python code generation and joining of disparate data sets. An autonomous data science agent, providing comprehensive support in data analysis, predictive modeling, and advanced analytics. Create the enterprise AI sidekick experience that works best for your organization. Public LLMs are not currently trained on an enterprise's unique, proprietary data sets. Your sidekick unlocks workplace productivity. A more engaging interface for complex analysis is now accessible to all members of the organization, regardless of technical ability. Through API-level access, your sidekick integrates with your existing products, systems, and workflows. -
12
Algoreus
Turium AI
All your data needs are delivered in one powerful platform. From data ingestion/integration, transformation, and storage to knowledge catalog, graph networks, data analytics, governance, monitoring, and, sharing. An AI/ML platform that lets enterprises, train, test, troubleshoot, deploy, and govern models at scale to boost productivity while maintaining model performance in production with confidence. A dedicated solution for training models with minimal effort through AutoML or training your case-specific models from scratch with CustomML. Giving you the power to connect essential logic from ML with data. An integrated exploration of possible actions. Integration with your protocols and authorization models. Propagation by default; extreme configurability at your service. Leverage internal lineage system, for alerting and impact analysis. Interwoven with the security paradigm; provides immutable tracking.
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