The Easy Way to
Your Data

Guiding you to build data science projects remarkably fast, collaboratively and without writing code.
More powerful than dashboards and more intuitive than notebooks.

get started For Free

Inside Graphext.

The Graph
Compare
Trends
Details
Insights
SHow Me More

Connect Data.

Pull data directly from databases like PostgreSQL, MySQL, Google BigQuery and more. Integrate with Google Drive and Sheets.
Drag and drop files into your Graphext workspace to start working with datasets. We support a range of file types including CSV, JSON and SAV.
Use Tractor to create new datasets from information posted on popular platforms including Twitter and Google News.
SHow Me More

Build Projects.

Create and deploy powerful clustering and prediction models on your data using the guidance of our setup wizard.
Filter and sample your data directly from your Graphext workspace. Switch and control the variable types in your data.
Enrich your analysis with information from popular APIs or external sources with census, climate or socio-demographic data.
SHow Me More

Explore & Analyze.

Discover communities and their features using the visual representation of the Graph to explore your datasets.
Find temporal patterns in your data at a glance. Switch between chart types and detect anomalies and trends automatically.
Uncover the relevance of variables in explaining similarities and differences between segments of your data.
SHow Me More

Report Insights.

Capture your findings as you move through your analysis. Create reports to help tell the stories in your data.
Save and download charts, tables and insights as exportable image files.
Publish and present your Graphext project. Embed projects in any website to start sharing aspects of your analysis online.
SHow Me More

Resources

Graphext | Graphtex | Graphnext: Grouping Similar Spellings Using Chars2Vec and Agglomerative Clustering

'España' and 'Españha' are just spelling variations. We built a way of grouping words spelt differently but referring to the same concept.

see more >

The Method Behind Our Investigation of Reports of Adverse COVID-19 Vaccine Events

Taking on an investigation into the adverse reactions associated with the COVID-19 vaccination rollout in the USA, our team were aware of the increased need for transparency whilst conducting our analysis. This article documents the methodology behind our study of Vaccine Adverse Event Reporting System (VAERS) data.

see more >

Conspiracies, Complexity and Clustering: Investigating Reports of Adverse COVID-19 Vaccine Effects

Modelling data from the Vaccine Adverse Event Reporting System (VAERS) - a US government-sponsored vaccine reaction monitoring service - our team set out to investigate reports of adverse health effects related to the seismic rollout of the COVID-19 vaccination programme in the USA.

see more >

Good Risk vs Bad Risk: Deconstructing the Features of 1000 German Loans

Attempting to discover the most influential features of a loan application when considering risk, our team built a model using the features of a loan application to predict whether an applicant would have a good or bad risk rating.

see more >
A digest of our blog data analysis, product updates and company news
Thank you! Your submission has been received!

Sorry. Something failed

Ready to try Graphext?

Want to know more about our smart data discovery tool?
Ask us for a demo!

Start now