Gephi vs. Graph Commons

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Gephi
Score 6.0 out of 10
N/A
N/AN/A
Graph Commons
Score 0.0 out of 10
N/A
Graph Commons is a self-service collaborative platform for mapping, analyzing, and sharing data-networks. With its interactive network visualization and analysis tools online, Graph Commons aims to empower people and organizations to harness the intelligence of their networks, by transforming their data into interactive maps and untangling complex relations that impact them. Graph Commons offers an empty canvas to get started mapping a network, whether it's a social network, a supply…
$0
Pricing
GephiGraph Commons
Editions & Modules
No answers on this topic
Starter
$0
Professional
$15
per month
Organization
$180
per month Starting from 1 Admin + 3 Explorer seats
Offerings
Pricing Offerings
GephiGraph Commons
Free Trial
NoNo
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsGephi is open-source and free to use.
More Pricing Information
Community Pulse
GephiGraph Commons
Features
GephiGraph Commons
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Gephi
6.7
Ratings
20% below category average
Graph Commons
-
Ratings
Pixel Perfect reports4.00 Ratings00 Ratings
Customizable dashboards8.00 Ratings00 Ratings
Report Formatting Templates8.00 Ratings00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Gephi
4.3
Ratings
61% below category average
Graph Commons
-
Ratings
Drill-down analysis8.00 Ratings00 Ratings
Formatting capabilities2.20 Ratings00 Ratings
Integration with R or other statistical packages5.00 Ratings00 Ratings
Report sharing and collaboration2.00 Ratings00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Gephi
4.0
Ratings
70% below category average
Graph Commons
-
Ratings
Publish to Web2.00 Ratings00 Ratings
Publish to PDF8.00 Ratings00 Ratings
Report Versioning2.00 Ratings00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Gephi
6.7
Ratings
17% below category average
Graph Commons
-
Ratings
Pre-built visualization formats (heatmaps, scatter plots etc.)9.00 Ratings00 Ratings
Location Analytics / Geographic Visualization3.10 Ratings00 Ratings
Predictive Analytics8.00 Ratings00 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Gephi
10.0
Ratings
16% above category average
Graph Commons
-
Ratings
Multi-User Support (named login)10.00 Ratings00 Ratings
Best Alternatives
GephiGraph Commons
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Score 9.0 out of 10
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Score 10.0 out of 10
Medium-sized Companies
Reveal
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Score 10.0 out of 10
Supermetrics
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Score 10.0 out of 10
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Score 9.9 out of 10
Dataiku
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Score 7.6 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
GephiGraph Commons
Likelihood to Recommend
9.9
(0 ratings)
-
(0 ratings)
Likelihood to Renew
7.1
(0 ratings)
-
(0 ratings)
Usability
8.0
(0 ratings)
-
(0 ratings)
Product Scalability
8.0
(0 ratings)
-
(0 ratings)
User Testimonials
GephiGraph Commons
Likelihood to Recommend
If anyone ever asked me "what mathematical graphing tool should I use", Gephi would be my first answer. At the very least, it's an excellent prototyping tool. I would be wary, however, if someone needed to use the product for large scale production output. It's finicky at times and does require a little "jiggling of the handle" to get things to work, but I'm sure the kinks will be worked out as the product matures
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Pros
  • As far as my experience gephi provides good mathematical results in calculating Metrics
  • Its helpful as we can directly import our data which is in a .csv file
  • Saving the analyzed data to a .csv is a plus. Its easy to run all the metrics by single click
  • We can filter the columns of metrics and we can export only those we need.
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Cons
  • A friend helped me to import that data -this process was outside my expertise.
  • The UI took some time getting used to. I spent a while formatting my graph before I could really obtain a good view of the network.
  • I would like an easier way to organize the different views of the data, I had a lot of tabs open that quickly cluttered my workspace.
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No answers on this topic
Likelihood to Renew
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
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Usability
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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Alternatives Considered
Compared to vis.js and d3, Gephi has a much better UI and is easier to use for anyone without a strong code background. vis.js and d3 are more flexible in terms of output and are used by Quaero for more of the ongoing reporting where Gephi is used for exploratory analysis and ad hoc requests. We use all three, just for different purposes.
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No answers on this topic
Return on Investment
  • 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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No answers on this topic
ScreenShots

Graph Commons Screenshots

Screenshot of Network of 🦄 Unicorns and 💰InvestorsScreenshot of Analyzing data with visual methods helps to gain insights about complexity. This makes sense of a complex issue by mapping actors and relations across networked organizations, or when investigating intermingled interactions of an ecosystem, or when curating a large archive.Screenshot of While exploring interactive network maps on Graph Commons, users can deep dive into the data.Screenshot of Centrality and clustering are the core network analysis metrics all available in Graph Commons.Screenshot of Two nodes in a network are considered "similar" if they share many common neighbors. When opening the similarity analysis dialogue, it presents options for selecting node types and their particular relationship types to generate a similarity analysis.