GraphScope
MPAndroidChart
Our great sponsors
GraphScope | MPAndroidChart | |
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10 | 20 | |
3,101 | 37,247 | |
0.8% | - | |
9.7 | 0.0 | |
1 day ago | about 2 months ago | |
C++ | Java | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
GraphScope
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Show HN: Graphlearn-for-PyTorch, distributed graph learning on PyTorch
Optimizing distributed sampling and feature lookup looks really attractive. It's really challenging to deploy GNN training at an industrial-scale for a large graph.
Will GLT be part of graphscope[1] and replacing the current graphscope-for-learning implementation?
[1]: https://github.com/alibaba/GraphScope
- GitHub “allows” unauthorized users “merging” PRs, bypass write permission check
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GraphScope VS CXXGraph - a user suggested alternative
2 projects | 17 Mar 2022
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GraphScope on Colab: Large-Scale Graph Computing from Notebooks to Kubernetes
We are glad to announce the landing of GraphScope on Colab: https://colab.research.google.com/github/alibaba/GraphScope.
GraphScope is a one-stop graph computing systems from Alibaba aimed to address challenges in large-scale graph computation in real production environments. GraphScope releases v0.9, enabling data scientists to develop graph computing workflows for analytical, interactive query and GNN workloads on small graphs in jupyter notebooks in a interactive manner. Once finishing the development and debugging, users can easily deployed their workflows to Kubernetes with one-line change!
To try GraphScope, you could find it on Colab[1], Jupyter Hub[2], or install GraphScope to your environment using pip by:
pip3 install graphscope
For more details of our v0.9 release, please refer to https://github.com/alibaba/GraphScope/releases/tag/v0.9.0
[1]: https://colab.research.google.com/github/alibaba/GraphScope/...
- GraphScope v0.6 Released: Code with Eager, Executive with Lazy
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GraphScope: A One-Stop Large-Scale Graph Computing System
Thanks for you interests on GraphScope!
We do have a concrete plan for k8s-less deployment and we already have an issue [1] to track that. That will be available before the end of March 2021.
To simplify the environment setup process we will release a docker image for end-users, but without docker will be ok as well (requires building from sources).
GraphScope use vineyard [2] as the storage layer for im-memory graph data structures. And current the graph type (aka. ArrowPropertyFragment in GraphScope) uses a set of arrow tables and arrays under the hood.
GraphScope supports a `to_vineyard_dataframe` method on the computation context [3]. We also has a plan for integration between vineyard and dask (may could be delivered in March as well). At that time the interop between dask would be straightforward.
[1]: https://github.com/alibaba/GraphScope/discussions/113
[2]: https://github.com/alibaba/libvineyard
[3]: https://graphscope.io/docs/reference/context.html#graphscope...
GraphScope is a unified distributed graph computing platform that provides a one-stop environment for performing diverse graph operations on a cluster of computers through a user-friendly Python interface. GraphScope makes multi-staged processing of large-scale graph data on compute clusters simple by combining several important pieces of Alibaba technology for analytics, interactive, and graph neural networks (GNN) computation, respectively, and the vineyard store that offers efficient in-memory data transfers.
We just released the version 0.2.0. And along with the release, we launched a public JupyterLab service where you can have a try in your browser: https://try.graphscope.app
Github: https://github.com/alibaba/graphscope. (stars are welcome :)
MPAndroidChart
- How can I Implement this kind of graph UI?
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Charting library suggestions?
I have used https://github.com/PhilJay/MPAndroidChart for a few big projects and has always had enough support for our customization needs.
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Best charting/graphing frameworks that are actively maintained?
I am planning to use a charting/graphing library in my App, however I have noticed that the options are pretty limited. In particular it seem like that there are many mediocre libraries and the rather promising ones (i.e. https://github.com/PhilJay/MPAndroidChart) are no longer maintained. In other words I couldn't find a framework that is both good and actively maintained.
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Best libraries for Android Developers
MPAndroidChart
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Android Chart Library
I'm currently making a personal project which involves using a chart. I was just wondering if there are any recent up to date libraries to use. I know of MPAndroidChart, but the Github hasn't been updated in a long time. I also recently saw Vico and was considering using that as well. Are there any other alternatives that would be a better option?
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Top 10 Android Libraries to boost your development in 2022
GitHub: https://github.com/PhilJay/MPAndroidChart
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Display a line chart using MPAndroidChart
I want to create a simple line chart using the MPAndroidChart library with the following values:
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Line Graph For Android Weather App
I think MPAndroidChart is a good option. It has a large documentation which can probably help you out. I personally have never used it before but I heard from my colleague that it's a good option.
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Is there a way to make it fit the screen so I can more easily see the images and text?
It is not limited to the tutorial. When I want to look up things on github without cloning the repo, it is basically the same: https://github.com/PhilJay/MPAndroidChart/blob/master/MPChartExample/src/main/java/com/xxmassdeveloper/mpchartexample/LineChartActivity1.java (yes, that is not the best example with only few long lines)
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What are the most common used (3rd party) libraries and frameworks used in Android development?
MPAndroidChart for charts and graphs
What are some alternatives?
janusgraph - JanusGraph: an open-source, distributed graph database
compose-samples - Official Jetpack Compose samples.
indradb - A graph database written in rust
GraphView - Android Graph Library for creating zoomable and scrollable line and bar graphs.
libvineyard - vineyard (v6d): an in-memory immutable data manager. [Moved to: https://github.com/alibaba/v6d]
HelloCharts - Charts library for Android compatible with API 8+, several chart types with scaling, scrolling and animations 📊
euler - A distributed graph deep learning framework.
WilliamChart - Android Library to rapidly develop attractive and insightful charts in android applications.
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
vico - A light and extensible chart library for Android.
parallel-disk-usage - Highly parallelized, blazing fast directory tree analyzer
achartengine - Charting library for Android applications. Automatically exported from code.google.com/p/achartengine