--- title: "Anaconda Software Pricing, Alternatives & More 2026 | Capterra" description: "With the help of Capterra, learn about Anaconda Software - reviews, pricing plans, popular comparisons to other Machine Learning products and more." source_url: "https://www.capterra.com/p/191760/Anaconda/" page_type: "product" language: "en" --- # Anaconda Software Review 2026: Features, Integrations, Pros & Cons Last updated on August 20, 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 87 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) Rating Breakdown 4.6 +− Features4.6 Value for Money4.6 Ease of Use4.4 Customer Service4.0 Rating Breakdown 4.6 Features4.6 Value for Money4.6 Ease of Use4.4 Customer Service4.0 ## Anaconda Reviewers Verdict Updated August 2026 AI summary - Anaconda suits data science, analytics, and engineering teams who need a unified Python environment for modeling and experimentation. - Positive feedback centers around its wide feature set, easy environment management, and approachable interface, especially for Python and machine learning projects. - Teams find it valuable for managing dependencies, running isolated projects, and accelerating development from setup to deployment. - Reviewers note pain points like slow performance on lower-end systems, heavy disk usage, and a learning curve for new users. - It fits best where teams need bundled tools and environment isolation, but may not suit resource-constrained or integration-heavy needs. ## 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 (87) VS. [4.5 (391)](https://www.capterra.com/p/109731/Minitab-Statistical-Software/reviews/) Starting Price Contact vendor Starting Price $1851 Flat Rate, Per Year Free Trial Free Version Pricing Options Free Trial Free Version Ease Of Use 4.4 (87) Ease Of Use 4.2 (1,867) Value For Money 4.6 (59) Value For Money 4.2 (1,271) Customer Service 4.0 (53) Customer Service 4.2 (1,205) ## Anaconda alternatives [4.7 (87)](https://www.capterra.com/p/10012559/EngineRoom/reviews/) Starting price $495.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 97% of reviewers rated it above 4 stars [Microsoft Power BI](https://www.capterra.com/p/176586/Power-BI/) [4.6 (1,888)](https://www.capterra.com/p/176586/Power-BI/reviews/) Starting price $10.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 96% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/176586/Power-BI/) Highest Rated [Google Analytics 360](https://www.capterra.com/p/177042/Google-Analytics/) [4.7 (8,101)](https://www.capterra.com/p/177042/Google-Analytics/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 97% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/177042/Google-Analytics/) [Tableau](https://www.capterra.com/p/208764/Tableau/) [4.6 (2,358)](https://www.capterra.com/p/208764/Tableau/reviews/) Starting price $15.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 95% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/208764/Tableau/) [View all alternatives](https://www.capterra.com/p/191760/Anaconda/alternatives/) ## FAQs about Anaconda Overview ### What problems does Anaconda solve? Anaconda solves slow project setup, dependency conflicts, and fragmented data science workflows by bundling Python, R, Jupyter, and core libraries in one environment. Data scientists, analysts, machine learning teams, and beginners use it to manage package versions, isolate environments, query data, and move faster from cleaning and exploration to modeling and visualization. Answer based on 27 reviews Overview ### Which roles and teams benefit most from Anaconda? Anaconda is most used by data scientists, analysts, AI researchers, and engineering teams that need a reliable Python environment for modeling, experimentation, and package management. Students and academic users benefit from its accessible setup for learning and research, while developers use it to build, test, and reproduce data-driven workflows efficiently. Answer based on 86 reviews Overview ### What company size and industries is Anaconda built for? Anaconda is for mid to large-scale businesses building enterprise-grade data science, machine learning, and AI tools, yet reviewer adoption is highest among small businesses at 43%, followed by enterprises at 38%. It serves Information Technology and Services most often at 17%, with Computer Software at 15% and Education Management at 8%. Answer based on 86 reviews Features and Usability ### What are the key features of Anaconda? Anaconda includes core data science and machine learning features like virtual environments, package management through conda, and a prebuilt library stack for NumPy, Pandas, and scikit-learn. Differentiating features include Anaconda Navigator for GUI-based library installation, version control, and access to Jupyter Notebook, JupyterLab, Spyder, and RStudio. Answer based on 35 reviews Limitations ### Is Anaconda slow or resource-heavy? Anaconda runs acceptably for many development tasks, but it often feels slow and heavy on lower-end machines. Data science learners and individual developers like the all-in-one setup, yet startup times, package updates, large dataset handling, and RAM usage can frustrate users with limited storage or older hardware. Answer based on 35 reviews Integrations ### Which third-party tools and platforms does Anaconda integrate with? Anaconda integrates with 3 third-party tools: The Jupyter Notebook, RStudio Desktop, and Kite. These integrations support data science and coding workflows across notebook environments, desktop analytics, and IDE assistance. Answer based on 6 reviews Getting Started and Support ### What training and onboarding options does Anaconda offer? Anaconda provides documentation for teams getting started. This written material supports self-paced reference for setup steps, feature explanations, and product usage guidance. No additional training formats are listed in the catalog data. Answer based on 8 reviews Getting Started and Support ### What customer support options does Anaconda offer? Anaconda provides a knowledge base for users who need setup guidance, package management help, or troubleshooting steps. Support feedback centers more on the product and documentation than on direct service, so users often describe the available help as useful for resolving installation issues and dependency questions. 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 projects, especially for beginners. Data analysts, students, and training teams value conda environments and bundled libraries, though some advanced users hit missing packages, version lag, or conflicts when mixing conda with pip and external repositories. Answer based on 25 reviews ## Features AI summary Based on 305 Machine Learning reviews Not all Machine Learning products cover every feature buyers care about most. Here is what Capterra reviewers identify as top priorities when choosing a solution: - **Model Training** (**48%** of reviewers rated this feature as critical) - **Third-Party Integrations** (**50%**) - **Predictive Analytics** (**56%**) Anaconda supports **Model Training** and **Predictive Analytics**, so teams can build models and generate forward-looking insights within the same environment. However, it does not offer **Third-Party Integrations**. Instead, it provides other highly rated capabilities, including **API** (**59%**), **Data Import/Export** (**49%**), and **Predictive Modeling** (**56%**). These features help businesses connect data, move information between systems, and develop forecasting workflows, allowing teams to work with machine learning models more efficiently and make better data-driven decisions. 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 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 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 Data Import/Export 4.8 (4) 100.00% of 4 reviewers that rated this feature as important or highly important Import and export data to and from software applications 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 (6) 66.67% of 6 reviewers that rated this feature as important or highly important Graphical representation of data Anaconda 42 features ### All Features - Access Controls/Permissions: Define levels of authorization for access to specific files or systems - AI/Machine Learning: Software program that continuously adjusts its behavior based on observed data - API: Application programming interface that allows for integration with other systems/databases - Chatbot: AI-based platform which conducts a conversation via auditory or textual methods - Collaboration Tools: Provides a channel for team members to share AI models, media files, communicate, and work together - Compliance Management: Track and manage adherence to policies for any service, product, process, or supplier - Dashboard: Assembly of graphs and charts for visualizing and tracking statistics/metrics - Dashboard Creation: Creation and customization of dashboards - Data Capture and Transfer: Import, collect, and capture data from multiple sources - Data Cleansing: Removes data that is incomplete, inaccurate, or irrelevant from a dataset - Data Connectors: Connect to big data sources - Data Discovery: Discover and connect variety of data sources to the application for analysis - Data Extraction: Automatically retrieve and pull information from documents, websites, images, data sets, and other sources - Data Import/Export: Import and export data to and from software applications - Data Management: Ability to handle large datasets - Data Preparation: Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions. - Data Security: Protect sensitive data for digital privacy - Data Storage Management: Manage and store data in a database - Data Visualization: Graphical representation of data - Deep Learning: Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data. - High Volume Processing: Process and analyze large volume of data - HIPAA Compliant: Compliant with HIPAA, which sets standards for sensitive patient data protection - Information Governance: Accountability over info/data that ensures appropriate behavior in the valuation, creation, storage, use, archiving & deletion of info. - KPI Monitoring: Tracking the status of previously identified performance measurements - Machine Learning: Enable businesses to implement machine learning algorithms on business data such as sales and revenue - ML Algorithm Library: Share, track, and store machine learning models and data. - Model Training: Process of testing an ML algorithm by feeding it training data to learn from - Multiple Data Sources: Allows users to manage data from a number of sources - Natural Language Processing: Process and analyze human language in text or audio form - Predictive Analytics: Predict future data based on historical data sets - Predictive Modeling: Analyzing historical and current data and generating a model to help predict future outcomes. - Public Dashboards: Publish dashboard publicly on various platforms - Reporting/Analytics: View and track pertinent metrics to find patterns and gain insights from data - Role-Based Permissions: Set & manage permission levels based on user roles and restrict access to only authorized individuals - Single Page View: Display aggregated data points on one page for a bird's eye view assessment - Single Sign On: Allow users to access multiple services after entering their login credentials once - Statistical Analysis: Apply statistical/mathematical models to sets of data - User Management: Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks - Version Control: Track revisions and updates made to files and navigate between different versions - Visual Analytics: Interact with data visualization elements, such as charts and graphs, to drill down into data - Visual Discovery: Process of visually navigating data and applying analytics to detect patterns, gain insight, and answer specific business queries. - Visualization: Graphical representation of data or processes --- Get Advice We can help you find the software with the features you need. Features 4.6 (87) 4.6 Based on 87 reviews ## Pricing Value for money 4.6 (59) ### Starting price Free trial available Value for money 4.6 (59) 4.6 Based on 59 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 (53) 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 (53) 4.0 Based on 53 reviews ## User reviews Overall rating 4.6 Based on 87 reviews Filter by rating 5(58) 4(25) 3(4) 2(0) 1(0) Mentioned topic Sorted by most recent RG Rashad G. Various roles Oil & Energy ### "Practical and easy-to-use Python environment tool" 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 3.0 3.0 Likelihood to Recommend 8/10 August 15, 2026 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 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. 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. [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 [Microsoft Power BI vs Anaconda](https://www.capterra.com/compare/176586-191760/Power-BI-vs-Anaconda)