The Anaconda AI Platform enables AI development that is both effective and convenient. It can seamlessly integrate with machine learning frameworks that are popular with data scientists and enables streamlined setting-up and managing of complex data science projects, allowing users to focus more on developing models, rather than managing the underlying system configuration. Review collected by and hosted on G2.com.

I don't like that the Anaconda AI Platform can be overwhelming sometimes, especially to people who haven't used the software before. There is a lot of content to learn, and not everything feels very "intuitive." When working with large datasets, I find using the platform can be slower than I prefer, which can impact productivity. Review collected by and hosted on G2.com.

Anaconda AI Platform provides a complete environment for managing data science and AI workflows. Its package management and environment handling are seamless, making it easy to install, update, and manage libraries without dependency conflicts. I especially value the large ecosystem of pre-built packages, Jupyter integration, and the ability to quickly prototype, test, and deploy models. It saves a lot of setup time and improves productivity, particularly for Python-based AI development. Review collected by and hosted on G2.com.

While Anaconda is excellent, it can sometimes feel heavy—especially in terms of storage space and environment size. Package downloads can be slow, and certain updates may break compatibility with older environments. The enterprise edition could also benefit from more streamlined integration with cloud platforms and better optimization for large-scale distributed workloads. Review collected by and hosted on G2.com.

Anaconda offers a comprehensive environment that greatly simplifies working with Python and various data science tools. I appreciate that it comes pre-installed with many of the key libraries I rely on for my academic and research projects, such as NumPy, Pandas, Matplotlib, and Jupyter Notebook. Managing multiple environments for different projects—like thesis work, school assignments, or data analysis—is also very convenient. The installation process is simple, and I rarely have to deal with package compatibility problems.

We (at the university) have used it everyday since I started my masters degree. It was really easy to integrate with my environment. Review collected by and hosted on G2.com.

The primary drawback of Anaconda is that it tends to consume a significant amount of storage and memory. On older computers, it can take a noticeable amount of time to load, and it occupies more disk space than simply installing Python and the required packages individually. Occasionally, updating or switching between environments leads to minor dependency conflicts that I have to resolve manually. Additionally, having to download or update the entire distribution seems excessive when I only need a handful of specific libraries.

Sometimes Customer Support could take long to respond a ticket, but they resolve your doubts. Review collected by and hosted on G2.com.

Anaconda offers an all-in-one environment that simplifies data science development and the experiment process. Dependency management with conda is usually great. The way it comes pre-installed with the most essential data science package makes it a go-to choice for any work or project to start with. Also, its integration with Jupyter Notebooks and Jupyter Lab is one of the best things that really makes Anaconda a powerful IDE that provides a smooth experience for code execution, visualization, and iterative development. Review collected by and hosted on G2.com.

It's resource hungry to boot Anaconda Navigator, the start page of the Anaconda platform. So, it takes some time with a little weaker machines. And thus, a little not-so-good experience. The initial installation size is large. If using both conda and pip, it becomes a little troublesome and often causes issues. Also, conda is difficult to recreate. There is no easy way to recreate all dependencies the way we can do with poetry. Thus not preferable if working with containers. Review collected by and hosted on G2.com.

What I like best about the Anaconda AI Platform is its all-in-one environment for data science and AI. It simplifies package management, supports powerful tools like Jupyter, and speeds up development with pre-installed libraries. It’s efficient, beginner-friendly, and ideal for both individual projects and collaborative workflows. Review collected by and hosted on G2.com.

While Anaconda AI Platform is powerful, it can be resource-heavy and slow to start, especially on low-end systems. Managing large environments may sometimes cause conflicts or delays. Also, the full installation takes up significant disk space, which may not be ideal for users with limited storage or bandwidth. Review collected by and hosted on G2.com.

I use anaconda to work with customer data, run python code and make quick reports easily. Jupyter notebook and built in packages like pandas save me setup time and help me test ideas faster. Even without being a full time developer, I can still get clear insights for my team. It's really great. Review collected by and hosted on G2.com.

Sometimes it takes time to update, but worth it Review collected by and hosted on G2.com.

I work as a machine learning developer and also as a data scientist. I have installed Anaconda due to it's huge library support. The software has been leading the industry for the last few years, and it has a vast community which makes the customer support very simple and fast. I use it every day. For instance, you may have different product at a single place, which I keep on using Anaconda. Amongst many tools, I do decide on it due to answer that I can see in the documentation. Review collected by and hosted on G2.com.

The anaconda software is also very heavy and big in size. This program consumes a lot of memory to be operated. Certainly 8GB RAM is required to make this function and even in that case it will feel sluggish while working with some libraries Review collected by and hosted on G2.com.

What I like best is how it brings everything (tools, security and collaboration) into one place so teams can build and deploy AI without the usual chaos. Review collected by and hosted on G2.com.

It’s powerful but that depth comes with a learning curve. Review collected by and hosted on G2.com.

i have using Anaconda daily at our org genpact form 3 years. It’s super handy comes with Python, Jupyter, and all the libraries I need in one place. Setting up new projects is quick, and I love how easy it is to manage environments without messing things up Review collected by and hosted on G2.com.

sometime it take time to load as i'm using older verson of laptop Review collected by and hosted on G2.com.

It is a very intuitive platform. It is great in helping to troubleshoot code. Review collected by and hosted on G2.com.

I don't have anything to say about dislikes. So far, it operates exactly the way I was expecting. Review collected by and hosted on G2.com.