What users are saying about
51 Ratings
17 Ratings
51 Ratings
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Score 8.6 out of 101
17 Ratings
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Score 8 out of 101

Likelihood to Recommend

Anaconda

Anaconda is great for academic and private organizations that cannot afford more expensive Python/R package managers. Also, it is more appropriate for intermediate to advanced Python users--Anaconda can be somewhat frustrating for beginners, as it takes some practice to get comfortable with the workflow. I find it particularly useful for working in teams, because if everyone uses the same package manager, it is easier to troubleshoot issues and makes for reproducible research. For wealthier organizations, a premium package management system (with tech support) would be ideal. Anaconda is also great for people working independently on code development.
Maike Holthuijzen profile photo

Gephi

It is well suited for projects that are more discovery related. If this is a one-time project that we create a visual for, this would definitely make sense to use. If this is an ongoing analysis (monthly for example), we might look to another software that we would be able to automate a little further in how the visualization comes together
Cory Hefner profile photo

Feature Rating Comparison

Platform Connectivity

Anaconda
7.0
Gephi
Connect to Multiple Data Sources
Anaconda
10.0
Gephi
Extend Existing Data Sources
Anaconda
8.0
Gephi
Automatic Data Format Detection
Anaconda
3.0
Gephi

Data Exploration

Anaconda
7.5
Gephi
Visualization
Anaconda
8.0
Gephi
Interactive Data Analysis
Anaconda
7.0
Gephi

Data Preparation

Anaconda
7.5
Gephi
Interactive Data Cleaning and Enrichment
Anaconda
8.0
Gephi
Data Transformations
Anaconda
9.0
Gephi
Data Encryption
Anaconda
6.0
Gephi
Built-in Processors
Anaconda
7.0
Gephi

Platform Data Modeling

Anaconda
8.1
Gephi
Multiple Model Development Languages and Tools
Anaconda
10.0
Gephi
Automated Machine Learning
Anaconda
6.5
Gephi
Single platform for multiple model development
Anaconda
8.5
Gephi
Self-Service Model Delivery
Anaconda
7.5
Gephi

Model Deployment

Anaconda
6.5
Gephi
Flexible Model Publishing Options
Anaconda
7.0
Gephi
Security, Governance, and Cost Controls
Anaconda
6.0
Gephi

BI Standard Reporting

Anaconda
Gephi
6.7
Pixel Perfect reports
Anaconda
Gephi
4.0
Customizable dashboards
Anaconda
Gephi
8.0
Report Formatting Templates
Anaconda
Gephi
8.0

Ad-hoc Reporting

Anaconda
Gephi
4.3
Drill-down analysis
Anaconda
Gephi
8.0
Formatting capabilities
Anaconda
Gephi
2.2
Integration with R or other statistical packages
Anaconda
Gephi
5.0
Report sharing and collaboration
Anaconda
Gephi
2.0

Report Output and Scheduling

Anaconda
Gephi
4.0
Publish to Web
Anaconda
Gephi
2.0
Publish to PDF
Anaconda
Gephi
8.0
Report Versioning
Anaconda
Gephi
2.0

Data Discovery and Visualization

Anaconda
Gephi
6.7
Pre-built visualization formats (heatmaps, scatter plots etc.)
Anaconda
Gephi
9.0
Location Analytics / Geographic Visualization
Anaconda
Gephi
3.1
Predictive Analytics
Anaconda
Gephi
8.0

Access Control and Security

Anaconda
Gephi
10.0
Multi-User Support (named login)
Anaconda
Gephi
10.0

Pros

Anaconda

  • Clear install story. There are a lot of ways to install python. There's only one way to install anaconda. This makes teaching and standardizing much easier.
  • Batteries included. It's easy to install things in python, but anaconda ships with most of what you need out of the box. This helps with standardization and reproducibility.
  • Good integrations with Jupyter and other visual tools. Jupyter is really convenient when learning various python packages. Anaconda makes these tools easy to launch and to use.
Matthew Deakyne profile photo

Gephi

  • In comparison to other tools such as GraphWiz or Circos, Gephi comes with an intuitive, easy-to-use interface that makes it easy to load your data, and quickly start building all sorts of different graphs. There's absolutely no code that needs to be written for either loading or modeling. And without downloading additional plug-ins, Gephi ships with quite a few standard graph models, as well as some "fun" extras such as the Sierpinski triangle, and a variety of force atlas types.
  • Most of the layout types (maybe all) are highly configurable, which can make for extremely customized and unique displays of your data. Again, none of this requires the user to write any code. That said, it is possible to script custom functionality for your models, or even update the Java source code yourself, if you feel like getting technical. Gephi builds are available on GitHub, and the developers encourage people to contribute ideas, improvements, and plug-ins.
  • There's a plug-in for Gephi that allows for streaming data to update your model. This essentially allows you to create near realtime graphs of your data in motion. This plug-in was by far the biggest reaston we invested time in the product; to create animated data visualizations without exhaustive hours in development.
Ben Huntley profile photo

Cons

Anaconda

  • Although some other users mentioned the installation is "simple", we did encounter some challenge in a highly controlled environment (due to security reasons).
  • Jupyter Notebook is extremely slow when the client/server side of the network's speed/bandwidth is not balanced.
  • Bootstrapping Anaconda takes too long, sometimes I even started doubting it would respond any more.
  • If there are extra python packages you need but are not by default installed by Anaconda, then some efforts will be required to figure out how to put them in the right place.
No photo available

Gephi

  • I (and many others) have had to expand Gephi's memory manually by experimenting with the configuration file. I'm glad it's possible, but it should be easier.
  • Gephi sometimes crashes inexplicably and loses your work, so I have developed a habit of explicitly exporting versions of my graphs as csv's, but I think this should be handled automatically in Gephi.
  • Because it is prone to crash, ideally, Gephi would help the user manage his/her use, by estimating processing and memory for very large tasks and prompting the user to confirm their requests before executing. Instead, I just tend to avoid certain functions.
Timothy Eccleston profile photo

Likelihood to Renew

Anaconda

Anaconda 7.0
Based on 1 answer
It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.
Matthew Deakyne profile photo

Gephi

Gephi 7.1
Based on 9 answers
While Gephi isn't perfect, it's a powerful tool for mathematical graph modelling that's hard to find in other products, particularly by way of its interface. It grants non-software developers access to a point-and-click way of creating accurate, beautiful visualizations that would normally take hours in other applications. The fact that it allows for live streaming data is also something that's hard to come by, at least for visualization software
Ben Huntley profile photo

Usability

Anaconda

Anaconda 8.0
Based on 1 answer
It's really good at installing and getting started. It's less usable and configurable after that. If you stay in the ecosystem, and don't know how to Python any other way - it works really well.
Matthew Deakyne profile photo

Gephi

Gephi 8.0
Based on 1 answer
Gephi is very intuitive and the fact that it shows its process helps the user understand what's going on. However, the animation features can really slow it down and there isn't a way to shut them off. Furthermore, the failures on saving mean you frequently have to start over. These problems disrupt the workflow and can be frustrating.
Timothy Eccleston profile photo

Alternatives Considered

Anaconda

ANACONDA VS Alteryx Analytics: Even though I find Alteryx to be an excellent tool for managing extremely massive data, Anaconda is much better and easy for analytics.Anaconda VS. MicroStrategy Analytics: Compared with Anaconda, MicroStrategy Analytics is very difficult to use and counter-intuitiveAnaconda VS. Power BI For Office 365: One of the main advantages of BI for Office 364 is its capacity to data connectivity. However, it's very hard to edit data connections, once BI for Office is deployed in other platforms
Mauricio Quiroga-Pascal Ortega profile photo

Gephi

The interactivity in Gephi and the quality of the output figures are impressive. However, the selling point was the fact that we were able to link Gephi into our pipeline using Java's interface. Other products were less customizable and lacking of the sophistication Gephi provided without too much pain during the liking process.
No photo available

Return on Investment

Anaconda

  • We can get any new employee set-up on Python for Machine learning in minutes, without any assistance from IT. That's real $ savings.
  • We started to experiment with Machine Learning a lot more, which leads to creating new projects which can have a tremendous impact on the business.
No photo available

Gephi

  • I have only used the product for education purposes. I will not be the best person to provide details about ROI and business efficiency and customer service. I was personally very excited about the tool and am continuing my work on the tool.
Shrawan Raina profile photo

Pricing Details

Anaconda

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Gephi

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?

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