Anaconda is an AI assistant to help you with coding. First of all, it allows the users to generate new codes, even if they don’t have the coding knowledge. This is because there is an Anaconda Notebook, so you can start coding in the browser right away. In addition, it can help you debug the codes.
One of the best things about Anaconda is the distribution feature. This means you can get access to machine learning, data science, and artificial intelligence packages. As a result, it will be easier to manage different apps and environments. All of this is possible through a navigator rather than spending hours on the command line.
Anaconda Review Summary | |
Performance Score | A+ |
Coding Quality | Professional and error-free codes |
Interface | Slightly congested and complicated |
AI Technology | Natural language processing, Machine learning algorithms |
Purpose of Tool | Generate codes, debug the codes, and manage the apps, environment, and packages |
Compatibility | Web-based Interface |
Pricing | A free plan is available. Three paid plans are available |
Who is Using Anaconda?
- Data Scientists: They can generate code, debug issues, and experiment with different algorithms.
- Machine Learning Engineers: They can easily install and manage a variety of data science and machine learning packages.
- Students: They can gain hands-on experience with data science concepts and tools. Also, they can learn different AI and machine learning techniques.
Anaconda Key Features
Code Generation | Environment Handling | Python Programs |
Community Support | No Configuration | Project Storage |
Application Management | Learning Resources |
Is Anaconda Free?
Yes, there is a free version of Anaconda available. This means you can access the 1000 high-compute seconds, 5GB of project storage, and Jupyter Notebook. However, if this isn’t enough, you can pay $15 for one seat a month. A business plan is also available that starts from $50, along with an enterprise plan (custom pricing).
Starter Plan
- Costs $15 for one seat a month
- Jupyter Notebook
- 10 GB of project storage
- 8,000 high-compute seconds
- 60 responses a day from AI assistant
Business Plan
- Costs $50 for one seat a month
- 20 GB of project storage
- 20,000 high-compute seconds
- 120 responses a day from AI assistant
Enterprise Plan
- Custom pricing and features
Anaconda Pros & Cons
Pros
- High computing seconds.
- Access to Python and R packages.
- Handles and manages the apps and environments.
- Enterprise DS platform is available.
- One-click project deployment.
- Debugs the codes for correctness.
- Provides learning resources.
Cons
- The user interface is too complicated.
FAQs
Which IDEs does Anaconda support?
Anaconda supports JupyterLab and Jupyter Notebooks. In addition, you can use it with VSCode and RStudio.
Does Anaconda support different data sources?
Yes, Anaconda supports different data sources and languages. All the data sources operate in an isolated and secure environment. That’s because one node can run multiple apps and data sources.
Does Anaconda have two-factor authentication?
Yes, Anaconda has single sign-in as well as two-factor authentication. That’s because it’s compatible with FreeOTP and Google Authenticator.