--- title: "Anaconda Reviews 2026. Verified Reviews, Pros & Cons | Capterra" description: "Is Anaconda the right Machine Learning solution for you? Explore 87 verified user reviews from people in industries like yours to make a confident choice." source_url: "https://www.capterra.com/p/191760/Anaconda/reviews/" page_type: "reviews" language: "en" publication_date: "2026-10-19" --- Anaconda 4.6 (87) [View alternatives](https://www.capterra.com/p/191760/Anaconda/alternatives/) Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Learn more](https://www.capterra.com/our-story/) * * * Last updated October 19th, 2026 # Reviews of Anaconda Ease of use 4.4 Customer Service 4.0 ## Pros and Cons in Reviews RG Rashad G Various rolesOil & Energy, 201 - 500 employeesUsed the software for: 1-2 years. “I found it useful for organizing different Python environments and installing the libraries needed for data analysis and technical work.“ August 15, 2026 GT Gregor T Senior Operations ExecutiveInformation Technology and Services, 1,001 - 5,000 employeesUsed the software for: Less than 6 months. “It can be really slow to open Anaconda, and initially I was very confused about the different applications integrated into it as it's not immediately obvious what the difference between some of them is (e.g. Jupyter lab v Jupyter notebook), with the explanations not being that clear.“ June 11, 2022 AR Aditya R Product ManagerComputer Networking, Self-employedUsed the software for: 1-2 years. “It has made data management much easier by providing a stable environment to work with large datasets and popular libraries without constant dependency issues.“ January 4, 2026 Momen S Data analystComputer Software, Self-employedUsed the software for: 6-12 months. “installing it for the first time may be difficult for some people, I once faced a problem while installing it for a user that has an apostrophe in his name.“ April 25, 2022 AR Aditya R Product ManagerComputer Networking, Self-employedUsed the software for: 1-2 years. “Installing Python, managing libraries, and working with tools like Jupyter Notebook becomes much simpler, especially when handling data analysis tasks.“ January 4, 2026 RN Riazuddin N Deputy ManagerBiotechnology, 10,001+ employeesUsed the software for: More than 2 years. “One thing I don't like is the dependencies to install few libraries and packages.“ March 28, 2022 Fungai Nicole C Support WorkerHospital & Health Care, 11 - 50 employeesUsed the software for: I used a free trial. “I like that it has a large variety of integrations for example CoLab and this was really awesome because I could edit my python code in the Anaconda interface before deploying my finished app to Streamlit.“ April 18, 2025 RG Robert G DeveloperConstruction, 10,001+ employeesUsed the software for: 6-12 months. “My machine is beefy, but I could understand how using local compute on a weaker machine could be frustrating. “ April 21, 2022 ## Showing most helpful reviews Showing 1-25 of 87 available reviews Sort by: Most Helpful Rating Company Size Reviewer's Role Length of Use Frequency of Use Various roles Used the software for: 1-3 years ### "Practical and easy-to-use Python environment tool" August 16, 2026 4.0 I have mainly used Anaconda to manage Python environments and packages for technical and data-related tasks. It makes it easier to keep different project environments organized and helps avoid conflicts between package versions. Overall, it is a practical tool for managing Python-based workflows. Pros Anaconda provides a convenient environment for managing Python packages and setting up development environments. I found it useful for organizing different Python environments and installing the libraries needed for data analysis and technical work. Cons The number of packages, environments, and configuration options can feel overwhelming at first. Managing environments and dependencies can also require some troubleshooting when different packages have compatibility requirements. Review Source Professor Used the software for: Less than 1 year ### "Still a Great Tool!" March 24, 2026 4.0 Pros I enjoy using Ananconda when practicing code in Python and R and sharing notebooks with others. Especially as someone who uses machine learning often its quite helpful Cons It is a definitely a learning curve and now that I often use databricks I don't often use it as much. Review Source Aditya R. Product Manager Used the software for: 1-3 years ### "A convenient and beginner friendly tool for managing data science workflows" January 7, 2026 5.0 Overall, my experience with Anaconda has been positive. It has made data management much easier by providing a stable environment to work with large datasets and popular libraries without constant dependency issues. The free version offers a lot, especially for students and individual users, which makes it very cost-effective. Pros What I liked most about Anaconda is how smoothly it brings everything together in one place. Installing Python, managing libraries, and working with tools like Jupyter Notebook becomes much simpler, especially when handling data analysis tasks. It saves time, reduces setup issues, and lets me focus more on learning and building projects rather than fixing environment problems. Cons One thing I liked least about Anaconda is that it can feel heavy and slow at times, especially on systems with limited resources. The environment management, while powerful, can be confusing in the beginning and sometimes leads to version conflicts. Also, updates and package installations occasionally take longer than expected, which can interrupt workflow. Review Source Fungai Nicole C. Support Worker Used the software for: I used a free trial ### "Easy to setup environments and code in many languages with Anaconda. Can be integrated with Streamlit." April 21, 2025 5.0 I loved integrating Anaconda with Streamlit. I had spent a significant amount of time trying to setup Streamlit on my PC but it was not running. I like that it has a large variety of integrations for example CoLab and this was really awesome because I could edit my python code in the Anaconda interface before deploying my finished app to Streamlit. You can use a lot of coding languages to code from C to others like visual basic. Pros I liked how easy it was to integrate the Anaconda environment with Streamlit. I was having trouble installing Streamlit on my computer and as soon I followed the easy instructions, I could just play a Play button and the environment would run smoothly. Cons The Windows setup file can take a while to download but it is worth it. Switched from [Google Cloud](https://www.capterra.com/p/268690/Google-Cloud-Platform/) I wanted to compare products to see which was more user friendly. Review Source Senior Analyst Used the software for: 3-5 years ### "must use for every data scientist" May 6, 2025 5.0 Pros best package management solution for python, two IDE can choose from jupyter or spyder Cons conda managed packages are usually lagging actual package versions, using pip install can easily create conflicts Switched from [Microsoft Visual Studio](https://www.capterra.com/p/80230/microsoft-visual-studio/) anaconda is more intuitive and user friendly for package management Review Source Trainer Used the software for: 1-3 years ### "Python distribution " March 18, 2024 3.0 Pros It contains almost all the python IDE. Once we download Anaconda all the most needed libraries are already installed. Cons When I installed Numpy and Pandas libraries they weren't working on "Pycharm" even when they were working in "VS Code" Review Source Data Warehouse Developer Used the software for: 3-5 years ### "Data Science platform with extensive functionality and ease of version management" February 12, 2020 5.0 I love Anaconda overall thanks to its extensive set of features, platforms it contains and ability to manage installed libraries and install new ones. Version management is very critical for a developer. For example, I recently needed a function that was brought to Pandas just recently, which was 'Int64' datatype that enabled NaN values for Int datatype in DataFrame. I realized I needed to update Pandas. Rather than going through painful process of library update and management, I have gone through this process with ease. Pros I loved that: - Almost all libraries come default with Anaconda, such as Pandas, NumPy, Matplotlib, Seaborn, Sci-kit Learn. - Even the libraries that does not come default in Anaconda can be easily installed via Anaconda user interface because the namespace contains such information. For example XGBoost, CatBoost, LightGBM, Imbalanced-learn, tsfresh libraries can be installed easily with no need to pip or other command-line interface command. - Maintenance and update of installed libraries are managed easily and automatically in Anaconda. You can see your installed library's current version and if there's any update, it automatically checks and notify you so that you can update them all with one click only. - Anaconda comes with platforms such as Jupyter Notebook, Spyder, Orange, VSCode and more. So you can develop your Python/R script in any of those according to your preference. Cons There are two drawbacks I have seen so far: - As more and more libraries are installed, Anaconda opening becomes slower. - Update of libraries at once is relatively slow but I guess that's understandable, comparing it to all the labor otherwise that would be carried out by the developer. Switched from [KNIME Analytics Platform](https://www.capterra.com/p/158739/KNIME-Analytics-Platform/) I needed more customized and sophisticated solutions for Data Science, for both Data visualization and machine learning model development. I realized Anaconda is the best platform to go with, because in non-programming packages, sophisticated custom data manipulation, visualization and functions of algorithms are very restricted. Alternatives considered [IBM SPSS Statistics](https://www.capterra.com/p/250819/IBM-SPSS-Statistics/) Reasons for choosing Anaconda SPSS still suffered the lack of flexibility and functionalities, compared to libraries that come with Anaconda some of which are Pandas, NumPy, Scikit-Learn. So it was not an actual option so I have chosen Anaconda. Review Source Researcher Used the software for: 1-3 years ### "Best tool for Python Begineers" July 24, 2023 5.0 Pros Anaconda is by far the best tool available for Python Begineers. It makes it easy to use jupyter Notebook, Jupyter Labs and other User Interfaces (UI). As compared to other UIs available like PyCharm which are paid, Anaconda is completely free and allows you do most of the tasks you would need to perform without error. Cons Anaconda is bundle of many User Interfaces. As a consequence, it consumes a bit of storage space in your hard disk. Further, it may take some time to familiarize with the tool. Switched from [PyCharm](https://www.capterra.com/p/186625/PyCharm/) Anaconda provides most of the services PyCharm does but at zero costs. While PyCharm is quite expensive, Anaconda can be used for free. Review Source Administrative Assistant Used the software for: 1-3 years ### "Best software for developing projects from different fields." September 14, 2021 4.0 This software has enabled me learn many things from different fields with different languages most especially python programming. Indeed this software includes many packages on one software and this has made my work more effective and efficient than ever. Pros First is its broad support for python libraries. This software includes various important libraries therefore it does not limit a programmer from using it either in python or R programming. It is an important software for developing long term projects that can run in different python versions. It was hard at first for me to select the best software to learn machine learning but since I got anaconda machine learning has been easy. Runs on more than one platform or operating system. Lastly installing new libraries on anaconda is so easy since it doesn't requires different steps for you to install those libraries. Cons This software takes a long time to open compared to other related alternatives. When I try to update one package of anaconda, it automatically updates all the packages and this I don't like. I don't have many negative things since it covers all my expectations only that if you are using Jupyter Notebook your internet connectivity should be good. Alternatives considered [PyCharm](https://www.capterra.com/p/186625/PyCharm/) Reasons for choosing Anaconda It has more libraries than PyCharm and this allows me learn many things. Review Source Engineer Used the software for: 1-3 years ### "Better alternative for Numeric analysis and visualization" March 24, 2020 5.0 Anaconda is very useful tool with many great open source tools that come with it, such as Pandas, NumPy, SciPy, Matplotlib, Seaborn as well as convenience to keep them updated, and install new ones. Pros I liked that it comes with a lot of ready to use libraries out of package, such as NumPy, Pandas, SciPy, Matplotlib and Seaborn, which makes it possible to read, process, model and visualize the data. I liked that version management is very easy to handle, too. It is possible to simply click on the library and then "install/update" button below. It is also very easy to install new ones, its default namespace already contains many many Python libraries and you can filter them using "not installed ones". Then again, to install, you simply click on the checkboxes. Cons The only drawback I can say is its rapidity is a bit low. I guess that's expected considering the number of packages it comes with, and adding new ones to these ones. Another strange thing I came across is, whenever I want to update a package that was already installed, instead of updating that one only, it updated them all, which is odd and very time consuming, considered each update takes some significant time. Switched from [MATLAB](https://www.capterra.com/p/125813/MATLAB/) Anaconda brings up more abilities with its vast number of libraries. Review Source Student Used the software for: 3-5 years ### "Saved my semester!" March 24, 2022 5.0 Excellent! You do not have problems if you code in r or python, you can work with both at same time! Pros The fact that you can use spyder and rstudio in the same software is a great advantage to improve your app development. Cons There is so much information to learn if you are new in coding, but once you learn, it is very easy to navigate in Anaconda's features. Switched from [The Jupyter Notebook](https://www.capterra.com/p/234967/The-Jupyter-Notebook/) You can integrate codes from other languages. Review Source Student Used the software for: 3-5 years ### "Cohesive and Practical " November 21, 2024 5.0 Pros Easy to create environments and coordinate packages. Cons The GUI runs a little slow on my basic personal computer. Review Source Data Scientist Used the software for: 3-5 years ### "Best way to get started in Data Science" August 3, 2021 5.0 I would happily recommend Anaconda to anyone who is starting in Data Science (or Miniconda depending on computing resources). Before I found Anaconda, it was a hassle to install packages using pip or wheel files. I've been using Anaconda as the development environment for all my Python projects. I hope they add full support to SBC devices like Raspberry Pi in future. Pros Anaconda is the best tool to get started on Data Science or A.I projects. It is a one-step setup solution as it auto install a curated list of Python packages that are widely used in most Python projects. The included packages supports wide variety of projects that range from Web development to Data Visualization, Machine Learning and even IOT. It also provides a cloud repository for managing and installing package dependences (like Maven). Using Anaconda Navigator, use can launch any tool like PyCharm, Jupyter Notebook, R Studio and even mange different environments. Development tools like Spyder and Jupyter are pre-installed with Anaconda, so its easy to get started with programming. Cons In my opinion Anaconda is heavy on resources and may not be ideal for production environments. The curated list of packages and auto-dependency management tools are very useful during development as it saves time and effort. But in production, it is better to install only the required packages since all the packages under Anaconda may be unnecessary. Anaconda supports most platforms but I was unsuccessful in setting it up in Raspberry Pi 4 (ARM64 architecture, 8GB RAM). Review Source Associate Consultant Used the software for: 1-3 years ### "Anaconda - Best Tool For Data Science and Data Visualization." May 6, 2021 5.0 Pros if you are Beginner and Experience, To begin with, it is extremely simple to set up and use. You can start coding immediately after downloading Anaconda from the official website I usually code using Jupiter Notebook  Anaconda is less difficult to use than PyCharm. If I have small ventures, it is the best place for me. In comparison to PyCharm and other IDEs, Jupiter Notebook runs tasks much faster. Supported multiple Machine Learning libraries and Very easy to use. The best Thing About anaconda is it is free to use. Cons Whenever I Working with a huge amount of data it takes a bit more time to load and display the data. At first, it's a little sluggish. It would greatly improve the experience if it were a little quicker. Otherwise, I love using Anaconda. Reasons for choosing Anaconda UI design is the best and very attractive to users. Review Source CD Cyrus D. Software Developer Used the software for: 3-5 years ### "Anaconda - a great tool to discover Python" June 1, 2023 5.0 Overjoyed and used it from college days till now. Really helps with python understanding Pros Ease of use, multifunctionality of applications and wide variety of features are just a few of its great attributes. Cons A better platform for hosting all the applications, I think that is the only flaw Review Source Data analyst Used the software for: Less than 1 year ### "Anaconda review" May 3, 2022 5.0 as mentioned in Cons, I once faced a problem while installing it for a user that has an apostrophe in his name. Pros Anaconda is a great environment for python and Data Science users as it provides a variety of applications related to python/data science, downloading libraries is also easy with conda shell, and it also has a learning section which I see is helpful. Cons installing it for the first time may be difficult for some people, I once faced a problem while installing it for a user that has an apostrophe in his name. Review Source Reserarcher Used the software for: 3-5 years ### "Great platform for analysi tools" May 11, 2023 4.0 Overall it is a highly recommended tool for data analysis and development. Must have tool. Pros This is a great tool for data scientists and developers. Anaconda platform includes system that includes popular programming languages, libraries, and tools such as Jupyter Notebook, R, and Orange. It is easy to install and manage environments, and it allows for seamless collaboration across teams. Cons One downside is that it can take up a lot of space on your computer. Review Source Anil C. Marketing Executive Used the software for: 1-3 years ### "Python Programming with Anaconda" June 24, 2022 5.0 I am using Python over 2 years and I am using Anaconda to write code with frameworks. It is handy and helps alot developers who programmes Python. Pros Anaconda is helpful for Pyhton programming and R programming, it is easy to install and use Anaconda for programming. Cons Anaconda has no bad feature at all, it works fine with Python alot. Switched from [RStudio Desktop](https://www.capterra.com/p/210152/RStudio/) Anaconda is better option to write Python. Review Source Tester Used the software for: 1-3 years ### "Anaconda enviroments" September 21, 2023 5.0 Overall it was really usefull for the projects Pros Sharing in between envs and in between others Cons It is really slow when it's starting up and deleting envs Review Source Engineer Used the software for: 1-3 years ### "All in one!" January 13, 2023 5.0 There is a bast library to work with, you just need to focus and search for the answer that you need. Pros Anaconda is a great way to integrate the scripts from different code languages, being able to perform better analysis, no limitated to one source. Cons The prices can be bearable, but you need to put effort to make it worth. Review Source Analytics Team Lead Used the software for: 1-3 years ### "A great tool with a couple of caveats" October 26, 2021 5.0 Pros I like that it lets one easily install Spyder, Jupyter Notebook, RStudio and access them from a single place. Cons Using it can cause some errors, you need to remember to use the conda command line interface instead of the default one. Review Source Vipul C. Principal Analyst Used the software for: 1-3 years ### "Amazing development package" June 9, 2021 5.0 Pros I use Anaconda navigator for machine learning with Jupyter notebook. Anaconda's environment provides every app needed for development. We can add libraries through GUI. Cons When adding libraries we have to restart Anaconda. Review Source User Testing Used the software for: Less than 1 year ### "Anaconda the IDE" November 9, 2022 3.0 I have used anaconda to develop my college final year project. Pros 1\. Anaconda has many integrated tools like R Studio, VS Code, The Jupyter Notebook...etc. 2. Anaconda is used to develop data science and machine learning projects. 3. It supports data access, data visualization, data manipulation... etc.4. Anaconda can integrate many libraries and packages.5. Anaconda supports many programming languages like python and R. Cons 1\. Anaconda work slowly at the start of the software.2. The software consumes more ram storage. Review Source Thiyagu A. Subject Matter Expert Used the software for: Less than 1 year ### "Excellent and simple tool for python developing" October 19, 2022 4.0 Pros Anaconda is a free open-source software for developing python codes. The interface is much simpler to create and navigate between environments and easy to download new plugins and modules. One of the most advantages is its GUI because it's easy and more understandable than other competitive alternatives. Cons Some larger modules require a premium certificate to install. Most of the packages are meant for machine-learning tasks. Review Source Student Used the software for: 1-3 years ### "Anaconda" March 21, 2022 4.0 Pros It serves as a great IDE for a data developer, and all the libraries one could need are included. Cons Anaconda takes a lot of time to load up, it should load a bit quicker. Review Source Similar Products Featured ## Send me user reviews about this product ### Fill out the form and we'll send a list of the top-rated software based on real user reviews directly to your inbox.