GitHub - antvis/G6: ♾ A Graph Visualization Framework in JavaScript.
Introduction • Examples • Quick Start • API G6 is a graph visualization engine. It provides basic capabilities for graph visualization and analysis such as drawing, layout, analysis, interaction, animation, themes, and plugins. With G6, users can quickly build their own graph visualization and analysis applications, making relational data simple, transparent, and meaningful. G6, as a professional
Microsoft Flow に Microsoft Graph API を利用するカスタム コネクタを登録する
Microsoft Graph API の Beta として、組織内の Microsoft Teams のチーム一覧を取得する API があるので、これを利用すると Microsoft Flow を使って日次などでチームの棚卸ができるかなと思いました。 List all teams in Microsoft Teams for an organization https://docs.microsoft.com/ja-jp/graph/teams-list-all-teams 加えて、カスタム コネクタとして作成しておけば、他の人も簡単に使えるようになるのかなということで、Microsoft Flow から Microsoft Graph API を利用するカスタム コネクタの作成手順を確認してみましたのでメモしておきます。 この記事で作成するカスタム コネクタは「Microsoft Gr
Pixela | Pixelation API Service
Record and Track your habits or effort. All by API. Pixela is the API service. With this service, you can get a GitHub like graph that expresses the degree of your daily various activities on a basis with a vivid gradation. All operations are performed by API. And, it's free. Pixela Sponsors Pixela provides almost all the features for free, but some features are only available to those who pay for
Microsoft Flow の HTTP アクションにある Active Directory OAuth 認証で Microsoft Graph API を利用する | idea.toString();
Microsoft Flow から Microsoft Graph API を利用する場合、アクセストークンを取得する必要があるわけです。ただ、HTTP アクションを使ってわざわざアクセストークンを取得してくるのが面倒だな…、そう思っていたところ HTTP アクションに気になるオプションを見つけました。 Microsoft Flow の HTTP アクションには「詳細オプション」が用意されており、そこには「認証」という項目が用意されています。その中に「Active Directory OAuth」というオプションも用意されているので、はてさて、これはどうやって利用するのかな？というわけで使い方を確認してみました。
Dgraph - A high performance graph database written in pure Go
Go Conference 2018 Spring
GitHub - dgraph-io/dgraph: high-performance graph database for real-time use cases
Dgraph is a horizontally scalable and distributed GraphQL database with a graph backend. It provides ACID transactions, consistent replication, and linearizable reads. It's built from the ground up to perform a rich set of queries. Being a native GraphQL database, it tightly controls how the data is arranged on disk to optimize for query performance and throughput, reducing disk seeks and network
Redis Graph - a graph database module for Redis
Redis is one of Fast Company's Most Innovative Companies of 2026
Python Graph Gallery
👋 The Python Graph Gallery is a collection of hundreds of charts made with Python. Graphs are dispatched in about 40 sections following the data-to-viz classification. There are also sections dedicated to more general topics like matplotlib or seaborn. Each example is accompanied by its corresponding reproducible code along with comprehensive explanations. The gallery offers tutorials that cater
Interactive Data Visualization & Data Apps | Plotly
Craft interactive dashboards with AI agents and your dataUpload your dataset and get a stunning, AI-generated data app in minutes, backed by Python code. Explore with ready-made chart prompts, build from scratch, or recreate existing dashboards from a screenshot. Publish and share your Dash apps in secondsPlotly Cloud makes it easy to publish and collaborate on Dash apps without configuring infras
Falcor: One Model Everywhere
One Model Everywhere Falcor lets you represent all your remote data sources as a single domain model via a virtual JSON graph. You code the same way no matter where the data is, whether in memory on the client or over the network on the server. The Data is the API A JavaScript-like path syntax makes it easy to access as much or as little data as you want, when you want it. You retrieve your data u
Rickshaw: A JavaScript toolkit for creating interactive time-series graphs
Rickshaw is a JavaScript toolkit for creating interactive time series graphs. Rickshaw on GitHub Graphing Toolkit Rickshaw provides the elements you need to create interactive graphs: renderers, legends, hovers, range selectors, etc. You put the pieces together. See Demo → Built on d3.js It's all based on d3 underneath, so graphs are drawn with standard SVG and styled with CSS. Customize all you l
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GitHub - cytoscape/cytoscape.js: Graph theory (network) library for visualisation and analysis
GitHub - hugegraph/hugegraph: A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
次のWindows 10を読み解く「Microsoft Graph」と「Project Rome」