Industry Context — Common BS Fingerprints in Software, SaaS & Tech Products
vis.gl
(https://vis.gl) 📸 Data Snapshot: May 24, 2026Analyze the raw signals below. How would a machine score this business’s credibility?
Here are the exact signals captured from up to six pages of the site — the same raw inputs the evaluation engine analyzed. They are grouped by signal type so you can weigh each the way the machine does.
🏗️ Semantic Structure — heading hierarchy & page identity (Info Density · Commodity Fingerprint)
HOMEPAGE vis.gl – OpenJS Foundation (https://vis.gl)
vis.gl – OpenJS Foundation
Cutting edge technology meets beautiful data visualization.
HEADER_HEADING_REPEATED_BODY Frameworks of vis.gl (https://vis.gl/frameworks/)
Frameworks of vis.gl
HEADER_HEADING vis.gl showcase (https://vis.gl/showcases/)
vis.gl showcase
HEADER_HEADING vis.gl in the news (https://vis.gl/news/)
vis.gl in the news
Learn more about how our work is creating impact
📝 The Narrative — clean text per page (Info Density · Semantic Coherence)
HOMEPAGE (https://vis.gl) vis.gl – OpenJS Foundation
Large scale geospatial data visualizationPromoting Industry Collaboration through Open Source and Open GovernanceVis.gl is a suite of composable, interoperable open source geospatial visualization frameworks centered around deck.gl.ContributionLead ContributorsCreated ByOpen Governancevis.gl is under open governance, and anyone can join the open planning meetings. Contributor status is available and technical steering committee membership is available to major contributors.FrameworksThe vis.gl Framework Catalog provides an overview of the various frameworks in the vis.gl framework suite.Releasesvis.gl 9.0Release Date: Mar 21, 2024deck.gl 9.0Release Notesluma.gl 9.0Release Notesmath.gl 4.0Release Notesloaders.gl 4.2Release Notesreact-map-gl 7.1Release Date: Jun 30, 2023Release NotesHistory2024react-google-maps was created.2023Open Visualization Collaborator Summit hosted in New York2022First annual Open Visualization Collaborator Summit hosted in Madridflowmap.gl joined the vis.gl project.vis.gl and kepler.gl joined the OpenJS Foundation.Urban Computing Foundation merged with the OpenJS Foundation, and formed the Open Visualization Collaboration Group.2020vis.gl Open Governance meetings started, under the auspices of the Linux Foundation and the UCF.Uber transferred a set of core vis.gl frameworks to the UCF.hubble.gl was created.2019Uber created the Urban Computing Foundation (a sub-foundation of the Linux Foundation), transferring kepler.gl.2018Uber open sourced kepler.glloaders.gl and nebula.gl were created.2017math.gl was created.probe.gl was created.2016luma.gl was created.2015The core deck.gl framework was open sourced by Uber.The core deck.gl framework was developed by Uber to support a wide range of geospatial visualization use cases across the company.
SUB-PAGE (https://vis.gl/frameworks/) Frameworks of vis.gl
vis.glFramework CatalogThe vis.gl Framework CatalogThe vis.gl frameworks are designed for GPU powered geospatial visualization and analytics on the web. The frameworks are designed to be independently usable while following a common style that makes them work seamlessly together. Each framework provides a number of sub-modules that export composable components such as loaders, visualization layers, and math modules that developers can cherry-pick and combine to achieve desired results. kepler.glThe kepler.gl demo application is a widely used geospatial tool for visualization and exploration of geospatial data using deck.gl. It demonstrates the power of the kepler.gl application framework, designed to let users build advanced custom geospatial applications. deck.glProviding high-performance, GPU powered visualization layers for large scale geospatial data. deck.gl is the corner stone of the vis.gl framework suite. A selection of submodules provide layers for various geospatial and 3D use cases. pydeck.glPython bindings for deck.gl that enable powerful custom geospatial visualizations to be programmed directly in Jupyter Notebooks. loaders.glA wide range of highly optimized, framework-independent loaders for geospatial, tabular and 3D file formats. Supports worker based binary data loading. Supported outputs includes geospatial layers, point clouds, 3D geometries, images, textures and tabular data. luma.glA high-performance WebGL library for high-performance visualization and GPU computation. hubble.glA powerful animation and video capture solution for deck.gl and kepler.gl visualizations. react-map-glA React wrapper for Mapbox GL JS that integrates with deck.gl. react-google-mapsA React wrapper for the Google Maps JavaScript API that integrates with deck.gl. flowmap.glFlowmap.gl is a flow map drawing layer for deck.gl. It can be used for visualization of geographic movement: mobility, transportation, migration, etc. math.glMath library focusing on 3D and geospatial math. probe.glJavaScript Console Logging, Instrumentation, Benchmarking and Test Utilities. deck.gl-communityUnofficial layers, basemaps, add-on modules for deck.gl including high-performance feature editing layers for deck.gl. Related FrameworksIn addition to the core frameworks, the vis.gl framework suite integrates with a number of related open source frameworks that are not under open governance. H3Hexagon-based discrete global grid system.
SUB-PAGE · THIN (https://vis.gl/showcases/) vis.gl showcase
[H3] Application Showcase Our frameworks work together to enable world-class user experiences. [IMG: Kepler.gl] [H1] Kepler.gl Kepler.gl is a powerful web-based geospatial data analysis tool. Built on a high performance rendering engine and designed for large-scale data sets.Visit Site [IMG: Movement] [H1] Movement A free tool that shares dynamic insights about traffic and mobility in cities where Uber operates.Visit Site [IMG: Uber Advanced Technologies Group] [H1] Uber Advanced Technologies Group A platform that enables engineers and across ATG to quickly inspect, debug, and explore data collected by our self driving cars.Read more
SUB-PAGE (https://vis.gl/news/) vis.gl in the news
[H2] News & Events Learn about how vis.gl is creating impact [H3] OpenJS Blog Mar 27, 2024 [IMG: Open Source Data Visualization Project deck.gl v9 Released] Open Source Data Visualization Project deck.gl v9 ReleasedRead Article [H3] OpenJS Blog Dec 21, 2023 [IMG: Introducing kepler.gl 3.0] Introducing kepler.gl 3.0Read Article [H3] OpenJS Blog Jul 10, 2023 [IMG: Visualizing Success: Year One of the OpenVis Collaboration Space] Visualizing Success: Year One of the OpenVis Collaboration SpaceRead Article [H3] OpenJS Blog Sep 1, 2022 [IMG: OpenJS Open Visualization Collaborator Summit - Madrid] OpenJS Open Visualization Collaborator Summit - MadridRead Article [H3] OpenJS Blog Jun 7, 2022 [IMG: OpenJS World 2022: OpenJS Foundation Welcomes Urban Computing Foundation, vis.gl and kepler.gl] OpenJS World 2022: OpenJS Foundation Welcomes Urban Computing Foundation, vis.gl and kepler.glRead Article [H3] Meetup Apr 3, 2018 [IMG: Form and Content: Constructing Meaningful Visualizations] Form and Content: Constructing Meaningful VisualizationsRead Article [H3] Meetup Oct 26, 2017 [IMG: Hello data! How to design visualizations for humans] Hello data! How to design visualizations for humansRead Article [H3] Techcrunch Aug 30, 2017 [IMG: Uber Movement traffic data finally makes it out of beta] Uber Movement traffic data finally makes it out of betaRead Article [H3] Techcrunch Aug 28, 2017 [IMG: Uber shows off its autonomous driving program’s snazzy visualization tools] Uber shows off its autonomous driving program’s snazzy visualization toolsRead Article [H3] Uber Engineering Blog Aug 28, 2017 [IMG: Engineering Uber’s Self-Driving Car Visualization Platform for the Web] Engineering Uber’s Self-Driving Car Visualization Platform for the WebRead Article [H3] Meetup Aug 31, 2017 [IMG: A Journey Through Space and Time] A Journey Through Space and TimeRead Article [H3] Techcrunch Apr 6, 2017 [IMG: Uber’s open source data visualization tool now goes beyond maps] Uber’s open source data visualization tool now goes beyond mapsRead Article [H3] Techcrunch Jan 29, 2017 [IMG: Uber crosses the 5 billion trip milestone amid ongoing issues] Uber crosses the 5 billion trip milestone amid ongoing issuesRead Article [H3] YouTube Jan 20, 2017 [IMG: Visualizing Data with deck.gl - Nicolas Garcia Belmonte] Visualizing Data with deck.gl - Nicolas Garcia BelmonteRead Article [H3] Meetup Jun 20, 2017 [IMG: Building Applications to Explore Geospatial Data] Building Applications to Explore Geospatial DataRead Article [H3] Business Insider Jan 8, 2017 [IMG: Uber is finally giving cities a slice of data they] Uber is finally giving cities a slice of data they've been clamoring forRead Article [H3] YouTube Dec 29, 2016 [IMG: Uber Engineering: Data Visualization at Uber] Uber Engineering: Data Visualization at UberRead Article [H3] Uber Engineering Blog Nov 10, 2016 [IMG: Visualize Data Sets on the Web with Uber Engineering’s deck.gl Framework] Visualize Data Sets on the Web with Uber Engineering’s deck.gl FrameworkRead Article [H3] Scale Conference Sep 2, 2016 [IMG: Uber’s data visualization stack] Uber’s data visualization stackRead Article [H3] Uber Engineering Blog May 3, 2016 [IMG: Engineering Intelligence Through Data Visualization at Uber] Engineering Intelligence Through Data Visualization at UberRead Article
🛡️ Trust Signals — reviews, proof links, trust-theatre flag (Trust & Proof)
| Page | Reviews | Proof links |
|---|---|---|
| / (home) | 0 | 0 |
| /frameworks/ | 0 | 0 |
| /showcases/ | 0 | 0 |
| /news/ | 0 | 0 |
🔗 Identity & Technical Layer — schema JSON-LD: identity chains, entity gaps (Identity & Authority)
Your Diagnosis
Before revealing the machine’s verdict, predict the BS score for each signal. Higher = more BS (more fluff, less verifiable substance). Drag each slider, then submit to compare your judgment against the engine.
Stuck? Reveal the heuristic lens — how the deterministic page-auditor reads each signal (no AI, pure pattern rules)
These are the structural rules a local, deterministic auditor applies — the same lens you can use to judge each signal. They describe what to look for, not this company’s result.
Classify each sentence as substantive or hollow. Grounding markers — numbers, currencies, dates, technical units, named entities — outweigh marketing adjectives. When fluff sits right next to hard evidence, the fluff is forgiven.
Pull the main entities out of the H1, then check whether they actually recur through the body. A page that announces one thing and then talks about another drifts. Headings with no real sentences underneath read as pseudo-substance.
Count trust words (review, testimonial, rating, verified) against real outbound proof links (Google, Trustpilot, Clutch, G2, Yelp). Lots of trust language with zero verification links is trust theatre. Unlinked logo galleries count against it.
Look at how much sentence length varies. Natural writing varies its rhythm; templated or mass-produced copy is statistically uniform. Very low variation reads as commodity content — unless unique named entities break the pattern.
Inspect the JSON-LD. Is there an Organization or Person schema, and does it carry sameAs links to real external profiles (LinkedIn, socials)? Missing schema or no identity declaration signals an anonymous entity.
Want to apply this lens yourself? The free BS Indicator Chrome extension runs these heuristic checks live on any page. Bear in mind it is a single-page, deterministic tool — it relies only on pattern rules for the page in front of it and does not perform the cross-page semantic correlation this audit uses, so its readout is a starting lens, not the full verdict.
Based on 1130 businesses audited.
vis.gl has 23.2 points less BS than the average for Software, SaaS & Tech Products.
Software, SaaS & Tech Products BS: vis.gl (vis.gl)
This is a rare specimen of high-substance technical documentation masquerading as a website. It contains almost no marketing bullshit, opting instead for a forensic accounting of its own history, versioning, and technical architecture. It is an authority-driven site that treats the visitor as a developer rather than a sales lead.
Implement structured JSON-LD schema for Organization and SoftwareSourceCode to bridge the minor technical authority gap. Update the News & Events section with 2025/2026 entries to ensure the project does not appear to be entering a stale phase relative to the current system date. Replace the generic meta description with a more specific summary of the framework capabilities. Ensure H1 tags on sub-pages are more descriptive than just repeating the brand name VIS.GL.
The site is perfectly aligned with the Software, Tech Products, and Open Source categories. The content focuses exclusively on geospatial visualization frameworks, GPU computation, and developer-centric tools, confirming its technical classification.
“The low score of 10 is driven by the project's adherence to technical specificity and its transparent history. The few points deducted were for a lack of structured schema, a slightly generic meta description, and the aging nature of the most recent news (26 months old). It remains one of the most BS-free environments in the tech product sector.”
This training module utilizes a snapshot of public data from vis.gl, captured on May 24, 2026, to demonstrate how machine logic evaluates different types of business narratives.
Purpose: This data is presented under “Fair Use” / “Educational Exception” for the purpose of forensic semantic analysis, allowing users to compare human intuition against machine-generated evaluations.
Notice to vis.gl: This analysis is part of a non-adversarial audit conducted by 1 Euro SEO. The results provided by 1EuroSEO are intended as professional feedback to help improve any website’s machine-readability and authority signals. The 1EuroSEO BS Detection Tool is a free tool, and anyone can test any company to see how their content is interpreted by AI models.
Any company can use the insights for free and improve its voice by comparing it to industry clichés or competitors. When a company has updated its content, it can always submit a new audit request, which will be reflected in a new current score.
To all users: You are encouraged to visit the live site at https://vis.gl to view the most current version of its content and learn from the source what this company is about and what it offers.