Anaconda vs Gephi

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.

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Maike Holthuijzen

Ph.D student

University of VermontHigher Education, 5001-10,000 employees

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Gephi

Gephi is wonderfully suited for research and conducting follow-up social network analysis that GIS is too cumbersome for. It is less-well-suited for spatial statistical modeling, which is easier in programs like GeoDA, Stata, R, and GIS.

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Catherine Brinkley

Assistant Professor and Assistant City and Regional Planner

UC DavisHigher Education, 10,001+ employees

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Feature Rating Comparison

Anaconda

7.5

Gephi

—

Visualization

7.0

—

Interactive Data Analysis

8.0

—

Anaconda

7.0

Gephi

—

Interactive Data Cleaning and Enrichment

7.0

—

Data Transformations

8.0

—

Data Encryption

6.0

—

Built-in Processors

7.0

—

Anaconda

5.7

Gephi

—

Automated Machine Learning

4.0

—

Single platform for multiple model development

7.0

—

Self-Service Model Delivery

6.0

—

Anaconda

4.5

Gephi

—

Flexible Model Publishing Options

5.0

—

Security, Governance, and Cost Controls

4.0

—

Anaconda

—

Gephi

6.7

Pixel Perfect reports

—

4.0

Customizable dashboards

—

8.0

Report Formatting Templates

—

8.0

Anaconda

—

Gephi

4.3

Drill-down analysis

—

8.0

Formatting capabilities

—

2.2

Integration with R or other statistical packages

—

5.0

Report sharing and collaboration

—

2.0

Anaconda

—

Gephi

4.0

Publish to Web

—

2.0

Publish to PDF

—

8.0

Report Versioning

—

2.0

Anaconda

—

Gephi

6.7

Pre-built visualization formats (heatmaps, scatter plots etc.)

—

9.0

Location Analytics / Geographic Visualization

—

3.1

Predictive Analytics

—

8.0

Anaconda

—

Gephi

10.0

Multi-User Support (named login)

—

10.0

Pros

Installing packages is very easy with Anaconda. Anaconda comes with 'anaconda navigator', a terminal-like utility from which you can easily install R packages and python libraries.
Launching R and python IDEs as well as Jupyter notebooks from anaconda navigator is simple, and Anaconda makes it very easy to keep these packages up-to-date.
I really like the fact that if you don't want to install the full version of Anaconda, you can opt to install a lightweight version (called Miniconda) that includes less python libraries and only core conda. I've installed it when I didn't want to take up as much disk space as Anaconda requires, but it works just the same.

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Maike Holthuijzen

Ph.D student

University of VermontHigher Education, 5001-10,000 employees

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Gephi has a very easy interface to use and get to the tools you need quickly. Without much training or learning, it's pretty simple to figure out.
The data import process is very easy in CSV format and the software produces a graph automatically once the correct data is loaded and mapped together (edges and nodes).
The visualization is very easy to edit, drag around, and customize. There is flexibility to change the size and color of nodes and edges to represent various characteristics of the graph.

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Cory Hefner

Analytics Manager

QuaeroMarketing and Advertising, 51-200 employees

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Cons

It's hard to get security updates when you leave the system packages
There're some PyPI packages that Anaconda doesn't have. This obligates the user to package it by herself or using pip
Anaconda isn't as fast as PyPI publications

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Mauricio Quiroga-Pascal Ortega

Senior Cognitive Solutions Consultant

Cognitiva IBM Watson Strategic PartnerComputer Software, 51-200 employees

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Maybe an easier way to import data. I had to import source data as a Pajek file.

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David Hala

Research Scientist

University of North TexasEnvironmental Services, 1001-5000 employees

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Likelihood to Renew

No score

No answers yet

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Gephi7.1

Based on 9 answers

I will be renewing my use of Gephi if there is a requirement of this tool for work. Other than that I will not be using this tool in future.

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Shrawan Raina

SQA Engineer

National Foreign Language Center, University of MarylandInformation Technology and Services, 1-10 employees

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Usability

No score

No answers yet

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Gephi8.0

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.

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Timothy Eccleston

Associate Data Analyst

InfospaceInternet, 51-200 employees

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Alternatives Considered

Anaconda is the best Python environment because you have all the things you need all in one places, at the reach of your hand. You can download and manage libraries as you wish and is very easy to create new projects and API's for all your stuff.It's Multiplatform so you don't have to take care to use your stuff in another computer. I think it is the best characteristic.

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Alejandro Daniel Copati

Desarrollador

Xavia IOTInternet, 1-10 employees

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More visual graphs & tools

Ability to handle huge data

Handle geospatial data

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Verified User

Analyst in Research & Development

Financial Services Company, 10,001+ employees

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Return on Investment

It has helped our organization to work collectively faster by using Anaconda's collaborative capabilities and adding other collaboration tools over.
By having an easy access and immediate use of libraries, developing times has decreased more than 20 %
There's an enormous data scientist shortage. Since Anaconda is very easy to use, we have to be able to convert several professionals into the data scientist. This is especially true for an economist, and this my case. I convert myself to Data Scientist thanks to my econometrics knowledge applied with Anaconda.

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Mauricio Quiroga-Pascal Ortega

Senior Cognitive Solutions Consultant

Cognitiva IBM Watson Strategic PartnerComputer Software, 51-200 employees

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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.

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Shrawan Raina

SQA Engineer

National Foreign Language Center, University of MarylandInformation Technology and Services, 1-10 employees

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