You Spoke, We Listened: Anaconda is Free for Academic, Research & Non-Profit Users
At Anaconda, we’re committed to advancing AI with open source at scale. As part of this commitment, we’re revamping our Terms of Service to clarify that eligible academic institutions, researchers, and non-profit organizations can continue to access Anaconda for free. We recognize that our previous Terms of Service update in 2024 created confusion. After gathering […]
Unifying the Open Source AI Journey: Introducing the Anaconda AI Platform
Why a Unified Platform, Why Now? The AI landscape has reached a critical inflection point with Gartner research showing over 80% of enterprises will deploy generative AI applications by 2026. However, organizations with fragmented approaches face higher costs and diminished business impact—a gap that’s not just technological but fundamentally about delivering measurable value. In today’s […]
Quick Start Environments: Simplifying AI Development for Practitioners
As data scientists, ML engineers, and developers, we’ve all faced the frustration of environment setup. The hours spent configuring dependencies, resolving conflicts, and ensuring everything works correctly are hours not spent on actual analysis and model development. Anaconda’s expanded quick start environments aim to eliminate this pain point entirely. What Are Quick Start Environments? Quick […]
Enterprise Open Source AI: Navigating Risk, Securing Innovation, and Owning Your Destiny
AI adoption has reached critical mass: 99% of organizations are either using AI or actively exploring it, with nearly half in the scaling phase, according to Enterprise Strategy Group research. Yet alongside this growth, risks persist: hallucinations, unscalable deployments, shadow AI, and security vulnerabilities that threaten even promising projects. “Enterprises need to be really smart […]
Illuminating Our Energy Future: How AI and Data Visualization Can Drive Sustainability Insights
At Anaconda, we believe that accessible tools for data analysis empower individuals to discover insights that can lead to meaningful change. As Earth Day nears, considering how data and artificial intelligence can illuminate our understanding of critical infrastructure and environmental impact is top of mind. The democratization of data science through intuitive AI interfaces particularly […]
Ten Techniques for Machine Learning Visualization
As part of any data science project, data visualization plays an important part in order to learn more about the available data and to identify any main pattern. Wouldn’t be great to also make as visually intuitive as possible the machine learning part of the analysis? In this article, we are going to explore some […]
Q&A With Anaconda Experts: How Do You Become a Data Scientist?
There is not a single linear path for a career in data science. As a named discipline, data science didn’t exist until the last two decades. That means data scientists and those in related roles may have started their careers down a different path. So, how do you become a data scientist? Knowing a single right […]
How to Run Python in Excel on a Mac
If you use a Mac, you may have suffered FOMO on encountering the brouhaha surrounding the beta release of Python in Microsoft Excel — as for the time being, this feature is only available on Windows. In this blog post, I’ll show you how to set up a Windows virtual machine on a Mac so you can […]
How to Build AI Chatbots with Mistral and Llama2
In the ever-growing world of AI, local models have become a focal point, particularly for their advantages in privacy and safety. The capability to deploy and develop chatbots using local models is notably valuable for data security, privacy, and cost management. Mistral and Llama2 emerge as two of the best-performing open-source local large-language models (LLMs). […]
Open Source Growth at Anaconda in 2025: Building the Foundations for AI Innovation
Open source software powers the data science and AI revolution, providing the essential tools that researchers, developers, and organizations rely on daily. At Anaconda, we don’t just use open source—we’re actively building its future. In 2024 alone, our teams contributed thousands of commits across dozens of critical projects that millions of Python users depend on. […]