With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Try free now
Full-stack observability with actually useful AI | Grafana Cloud
Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.
Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
This project extends a previous work on node link tree visualisation and interaction by providing visual clues on hidden structures. We adopt DOITree from Prefuse package (https://github.com/prefuse/Prefuse), a multi-focal tree layout algorithm, for exploring large hierarchical structures.
Related publications:
https://www.sciencedirect.com/science/article/pii/S1045926X1630009X
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6902871
...It will keep being available as a Julia package but we encourage existing and new users to migrate to HiddenMarkovModels.jl which offers a similar interface. For more information see HiddenMarkovModels.jl: when did HMMs get so fast?. HMMBase provides a lightweight and efficient abstraction for hiddenMarkov models in Julia. Most HMMs libraries only support discrete (e.g. categorical) or Normal distributions. In contrast HMMBase builds upon Distributions.jl to support arbitrary univariate and multivariate distributions.
CThruView is an image viewer that allows mouse clicks to go through the image. Use it as tracing paper or splash screen. The image can be made semi-transparent, flipped, rotated, zoomed, always on top, clipped, moved, hidden and centered.
Simple editor and analyzer of Petri nets. It allows you to build reachability tree with/without instant transitions and Markov chains. It is also possible to set transition distributions and set all the parameters of the current distribution.
This project was made as a course project at NTUU "KPI" during attending classes "Computer modelling".
Feel free to make any changes to the current version or ask me if you have any question.