# Anaconda Software Pricing, Alternatives & More 2026 | Capterra > With the help of Capterra, learn about Anaconda Software - reviews, pricing plans, popular comparisons to other Machine Learning products and more. Source: https://www.capterra.com/p/191760/Anaconda --- # Anaconda Software Review 2026: Features, Integrations, Pros & Cons Last updated on March 13, 2026 Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[FAQs](#faqs)[Features](#features)[Pricing](#pricing)[Support](#support)[Reviews](#reviews) Anaconda ## What is Anaconda? With 43 million users, Anaconda is the world’s most popular data science platform and the foundation of modern AI development. We pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make possible the advancements of tomorrow. Our enterprise-grade solutions enable corporate, research, and academic organizations around the world to harness the power of open source for competitive advantage, groundbreaking research, and a better world. ## What is Anaconda used for? [Machine Learning](https://www.capterra.com/machine-learning-software/)[Data Analysis](https://www.capterra.com/data-analysis-software/)[Deep Learning](https://www.capterra.com/deep-learning-software/) Top alternative Featured Overall rating Based on 86 user reviews Reviews sentiment Positive 95% Neutral 5% Negative 0% ### Starting price Free trial available Capterra Shortlist charts the highest-rated and most popular products... Our "Best of" badge program showcases products with the highest ratings... Our "Best of" badge program showcases products with the highest ratings... Do you work for Anaconda?[Manage this product listing](https://digitalmarkets.gartner.com/get-listed/claim-bx?url=https://www.anaconda.com/&name=Anaconda) ## Compare with a popular alternative Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status. ### Anaconda 4.6 (86) VS. [4.4 (12)](https://www.capterra.com/p/10004983/SAS-Viya/#reviews) Starting Price Contact vendor Starting Price Contact vendor Free Trial Free Version Pricing Options Free Trial Free Version Ease Of Use 4.4 (86) Ease Of Use 4.1 (2,302) Value For Money 4.6 (58) Value For Money 3.7 (1,781) Customer Service 4.0 (52) Customer Service 3.9 (1,721) ## Anaconda alternatives [4.5 (389)](https://www.capterra.com/p/109731/Minitab-Statistical-Software/reviews/) Starting price $1851.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 93% of reviewers rated it above 4 stars [Google Cloud](https://www.capterra.com/p/268690/Google-Cloud-Platform/) [4.7 (2,302)](https://www.capterra.com/p/268690/Google-Cloud-Platform/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 96% of reviewers rated it above 4 stars Highest Rated [Rayven](https://www.capterra.com/p/173908/Rayven-Industrial-business-intelligence/) [5.0 (24)](https://www.capterra.com/p/173908/Rayven-Industrial-business-intelligence/#reviews) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 100% of reviewers rated it above 4 stars [Clickworker](https://www.capterra.com/p/175432/Clickworker/) [4.3 (58)](https://www.capterra.com/p/175432/Clickworker/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 90% of reviewers rated it above 4 stars [View all alternatives](https://www.capterra.com/p/191760/Anaconda/alternatives/) ## FAQs about Anaconda Overview ### What problems does Anaconda solve? Anaconda solves slow, error-prone data science setup by bundling Python, R, Jupyter, and core libraries into one environment. It reduces package conflicts, manual installs, and version-management headaches while speeding data cleaning, analysis, visualization, and modeling workflows. Data scientists, analysts, machine learning teams, students, and developers benefit most. Answer based on 27 reviews Overview ### Which roles and teams benefit most from Anaconda? Anaconda is most used by data scientists, AI researchers, developers, engineers, and students who need a reliable Python environment for analytics, machine learning, and coding projects. Academic teams and technical professionals use it to manage packages, build reproducible workflows, run experiments, and simplify setup across research, learning, and software development. Answer based on 86 reviews Talk to an expert ### More questions? Ask our experts Overview ### What company size and industries is Anaconda built for? Anaconda serves small businesses most often at 43% and Information Technology and Services at 17%, while its catalog targets mid to large scale businesses building enterprise-grade data science, machine learning, and AI models and tools. It also sees strong use in Enterprise firms at 38% and Computer Software at 15%. Answer based on 86 reviews Features and Usability ### What are the key features of Anaconda? Anaconda includes core data science features like package management with conda, virtual environments, and prebuilt Python and R libraries for machine learning, statistical analysis, and data visualization. Differentiating features include Anaconda Navigator, Jupyter Notebook, and Spyder, which give a single interface for library installation, version control, and environment management. Answer based on 35 reviews Integrations ### Which third-party tools and platforms does Anaconda integrate with? Anaconda integrates with The Jupyter Notebook, RStudio Desktop, and Kite. These tools cover notebook-based data work, statistical programming, and code completion inside development environments, giving Anaconda a focused set of third-party connections for Python and data science workflows. Answer based on 6 reviews Getting Started and Support ### What training and onboarding options does Anaconda offer? Anaconda provides documentation for teams getting started with the platform. Documentation gives written reference material for setup, feature explanations, and step-by-step instructions that users can consult as needed during onboarding and later use. Answer based on 8 reviews Getting Started and Support ### What customer support options does Anaconda offer? Anaconda provides a knowledge base for users seeking setup guidance, package management help, and troubleshooting steps. Reviewer comments also point to a mixed support experience overall: documentation and tutorials are often helpful, but some users report difficulty with certain installs, version updates, and platform-specific issues. Answer based on 9 reviews Features and Usability ### How good is Anaconda for package management? Anaconda makes package management easy for many Python and data science users through conda, preloaded libraries, and isolated environments. Beginners, students, and training teams often find setup simpler, but some developers run into outdated package versions, missing libraries, pip conflicts, and occasional confusion when updating dependencies. Answer based on 25 reviews Performance and speed ### How fast is Anaconda on everyday development tasks? Anaconda feels convenient for everyday coding, but speed is a common tradeoff, especially on low-end computers. Data science learners and developers like the all-in-one setup, yet many mention slow startup, laggy GUI behavior, heavy storage and RAM use, and slower handling of large datasets or environment changes. Answer based on 35 reviews ## Features Features with the highest number of reviews are displayed first. Those that have no reviews appear next, sorted alphabetically. Predictive Analytics 4.2 (21) 71.43% of 21 reviewers that rated this feature as important or highly important Predict future data based on historical data sets Predictive Modeling 4.4 (21) 71.43% of 21 reviewers that rated this feature as important or highly important Analyzing historical and current data and generating a model to help predict future outcomes. Data Visualization 4.2 (5) 60.00% of 5 reviewers that rated this feature as important or highly important Graphical representation of data Model Training 4.8 (5) 120.00% of 5 reviewers that rated this feature as important or highly important Process of testing an ML algorithm by feeding it training data to learn from API 4.3 (4) 50.00% of 4 reviewers that rated this feature as important or highly important Application programming interface that allows for integration with other systems/databases ML Algorithm Library 4.5 (4) 100.00% of 4 reviewers that rated this feature as important or highly important Share, track, and store machine learning models and data. Anaconda 42 features Define levels of authorization for access to specific files or systems Software program that continuously adjusts its behavior based on observed data Application programming interface that allows for integration with other systems/databases AI-based platform which conducts a conversation via auditory or textual methods Provides a channel for team members to share AI models, media files, communicate, and work together Track and manage adherence to policies for any service, product, process, or supplier Assembly of graphs and charts for visualizing and tracking statistics/metrics Creation and customization of dashboards Import, collect, and capture data from multiple sources Removes data that is incomplete, inaccurate, or irrelevant from a dataset Connect to big data sources Discover and connect variety of data sources to the application for analysis Automatically retrieve and pull information from documents, websites, images, data sets, and other sources Import and export data to and from software applications Ability to handle large datasets Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions. Protect sensitive data for digital privacy Manage and store data in a database Graphical representation of data Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data. Process and analyze large volume of data Compliant with HIPAA, which sets standards for sensitive patient data protection Accountability over info/data that ensures appropriate behavior in the valuation, creation, storage, use, archiving & deletion of info. Tracking the status of previously identified performance measurements Enable businesses to implement machine learning algorithms on business data such as sales and revenue Share, track, and store machine learning models and data. Process of testing an ML algorithm by feeding it training data to learn from Allows users to manage data from a number of sources Process and analyze human language in text or audio form Predict future data based on historical data sets Analyzing historical and current data and generating a model to help predict future outcomes. Publish dashboard publicly on various platforms View and track pertinent metrics to find patterns and gain insights from data Set & manage permission levels based on user roles and restrict access to only authorized individuals Display aggregated data points on one page for a bird's eye view assessment Allow users to access multiple services after entering their login credentials once Apply statistical/mathematical models to sets of data Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks Track revisions and updates made to files and navigate between different versions Interact with data visualization elements, such as charts and graphs, to drill down into data Process of visually navigating data and applying analytics to detect patterns, gain insight, and answer specific business queries. Graphical representation of data or processes Get Advice We can help you find the software with the features you need. Features 4.7 (86) 4.7 Based on 86 reviews ## Pricing Value for money 4.6 (58) ### Starting price Free trial available Value for money 4.6 (58) 4.6 Based on 58 reviews Connect with a Capterra advisor for a free 15-minute consultation Get a personalized software list aligned to your business needs with guidance from our expert advisors. Our team has helped 1 million+ businesses like yours find options that fit their needs. ## Support, customer service and training options Customer Service 4.0 (52) Support - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - 24/7 (Live rep) - Chat Training - In Person - Live Online - Webinars - Documentation - Videos Deployment - Web - Android - iPhone/iPad Typical users - Freelancers - Small businesses - Mid size businesses - Enterprises Customer Service 4.0 (52) 4.0 Based on 52 reviews ## User reviews Overall rating 4.6 Based on 86 reviews Filter by rating 5(58) 4(24) 3(4) 2(0) 1(0) Mentioned topic Sorted by most recent Essence W. Professor Education Management ### "Still a Great Tool!" 4.0 Overall Rating 4.0 4.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 4.0 4.0 Likelihood to Recommend 10/10 March 23, 2026 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 Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AR Aditya R. Product Manager Computer Networking ### "A convenient and beginner friendly tool for managing data science workflows" 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 5.0 5.0 Customer Service 4.0 4.0 Likelihood to Recommend 8/10 January 4, 2026 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 Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. TM Terry M. Senior Analyst Mining & Metals ### "must use for every data scientist" 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 5.0 5.0 Customer Service 0.0 0.0 Likelihood to Recommend 10/10 May 3, 2025 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 Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. Fungai Nicole C. Support Worker Hospital & Health Care ### "Easy to setup environments and code in many languages with Anaconda. Can be integrated with Streamlit." 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 9/10 April 18, 2025 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 Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. LH Leslie H. Student Information Technology and Services ### "Cohesive and Practical " 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 0.0 0.0 Likelihood to Recommend 10/10 November 15, 2024 Pros Easy to create environments and coordinate packages. Cons The GUI runs a little slow on my basic personal computer. Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. GC George C. Retired CAE Engineer Automotive ### "Anaconda package" 4.0 Overall Rating 4.0 4.0 Ease of Use 3.0 3.0 Features 4.0 4.0 Customer Service 2.0 2.0 Likelihood to Recommend 7/10 November 11, 2024 I am using this software since 2020 and until now I am satisfied with the obtained results. Pros It is complete package for a programer or analyst. It is usefully for a beginner or for an experienced. Cons It is to slowly for oldest computers and take a lot of resources like memory or CPU Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. CM Christhian M. Data Scientist Financial Services ### "Review of Anaconda" 3.0 Overall Rating 3.0 3.0 Ease of Use 5.0 5.0 Features 3.0 3.0 Customer Service 3.0 3.0 Likelihood to Recommend 9/10 October 21, 2024 Pros As a data scientist, we all know and have use anaconda because it provide every element needed to help us develop our projet. Between those elements we have IDEs, notebook editor, Python and R preinstalled with the most used libraries. Cons Anaconda unfortunately takes too much space on laptop and it is sometimes really slow even when opening it Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. VS Vikash S. Assistant professor Education Management ### "Coding and Executing" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 August 1, 2024 Its easy to use ..and have multiple library functions pre installed in it Pros We can do multi-tasking , like its all in one for coding we can do Machine Learning, Data science and many more Cons It is mostly only for the data science field not for web development Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. AM abir M. Trainer Professional Training & Coaching ### "Python distribution " 3.0 Overall Rating 3.0 3.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 4.0 4.0 Likelihood to Recommend 8/10 March 15, 2024 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 Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. Naresh B. Frontend Engineer Information Technology and Services ### "The highly recommend and necessary tool for data scientists" 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 December 15, 2023 Pros It was easy to use and it has support for multiple applications to make it easy to use multiple features from the same application. Cons Although it supports multiple applications it can be bulky, which in turn can make your code execution slow if you have a low end system Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. [View all Reviews](https://www.capterra.com/p/191760/Anaconda/reviews/) ## Top-rated software of 2026 ### Fill out the form and we'll send a list of the top-rated software based on real user reviews directly to your inbox. Popular comparisons [Dataiku vs Anaconda](https://www.capterra.com/compare/142192-191760/Data-Science-Studio-DSS-vs-Anaconda)