Search Results for "disk"
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Showing 28 open source projects for "disk"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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1
Zenith
Sort of like top or htop but with zoom-able charts, CPU, GPU
In terminal graphical metrics for your *nix system written in Rust. The make file provides for building fully static versions on Linux against the musl C library. It requires musl-gcc to be installed on the system. Install "musl-tools" package on debian/ubuntu derivatives, "musl-gcc" on fedora and equivalent on other distributions from their standard repos. If one needs to build with NVIDIA support in a virtual environment, then it requires some more setup since typically the VM software is... -
2
JDF.jl
Julia DataFrames serialization format
JDF is a DataFrames serialization format with the following goals, fast save and load times, compressed storage on disk, enabled disk-based data manipulation (not yet achieved), and support for machine learning workloads, e.g. mini-batch, sampling (not yet achieved). JDF stores a DataFrame in a folder with each column stored as a separate file. There is also a metadata.jls file that stores metadata about the original DataFrame. Collectively, the column files, the metadata file, and the folder is called a JDF "file". ... -
3
Benthos
Fancy stream processing made operationally mundane
...It comes with a powerful mapping language, is easy to deploy and monitor, and ready to drop into your pipeline either as a static binary, docker image, or serverless function, making it cloud native as heck. Delivery guarantees can be a dodgy subject. Benthos processes and acknowledges messages using an in-process transaction model with no need for any disk persisted state, so when connecting to at-least-once sources and sinks it's able to guarantee at-least-once delivery even in the event of crashes, disk corruption, or other unexpected server faults. This behaviour is the default and free of caveats, which also makes deploying and scaling Benthos much simpler. -
4
beszel
Lightweight server monitoring hub with historical data, docker stats
A lightweight server resource monitoring hub with historical data, docker stats, and alerts. -
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5
PlantUML
Generate diagrams from textual description
...Run (or have your software call) PlantUML, using sequenceDiagram.txt as input. The output is an image, which either appears in the other software, or is written to an image file on disk. Diagrams are defined using a simple and intuitive language. (see PlantUML Language Reference Guide). Images can be generated in PNG, in SVG or in LaTeX format. It is also possible to generate ASCII art diagrams (only for sequence diagrams). -
6
FileTrees.jl
Parallel file processing made easy
...Read a directory structure as a Julia data structure, (lazy-)load the files, apply map and reduce operations on the data while not exceeding available memory if possible. Make up a file tree in memory, create some data to go with each file (in parallel), write the tree to disk (in parallel). FileTrees is a set of tools to lazy-load, process and save file trees. Built-in parallelism allows you to max out all threads and processes that Julia is running with. Files and subtrees in a file tree can have any value attached to them, you can map and reduce over these values, or combine them by merging or collapsing trees or subtrees. ... -
7
IoTDB
Apache IoTDB
Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields. In the scene of factories, there... -
8
Checkmate
Checkmate is an open-source, self-hosted tool
...The application continuously checks whether websites and services are accessible and performing optimally, generating alerts and reports when availability or performance degrades. It supports detailed infrastructure monitoring through an optional agent called Capture, which collects hardware metrics such as CPU, memory, disk usage, and temperature from remote machines. The system is designed to scale, having been stress-tested with more than a thousand active monitors without major performance issues. Checkmate also includes incident tracking and notification capabilities so teams can quickly respond to outages or anomalies. Overall, the platform serves as a comprehensive, developer-friendly alternative to commercial uptime and infrastructure monitoring tools. -
9
fluentbit
Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX
...Granular management of data parsing and routing. Filtering and enrichment to optimize security and minimize cost. The lightweight, asynchronous design optimizes resource usage: CPU, memory, disk I/O, network. No more OOM errors! Integration with all your technology, cloud-native services, containers, streaming processors, and data backends. Fully event-driven design leverages the operating system API for performance and reliability. All operations to collect and deliver data are asynchronous. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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10
GridDB
GridDB is a next-generation open source database
...Multi-model architecture capable of supporting various data stores with time-series data-oriented and pluggable data stores for efficient real-time processing and management of huge amounts of time-series data at high frequency. Various architectural innovations, such as in-memory orientation with "memory as the main unit and disk as the secondary unit" and event-driven design with minimal overhead, have been incorporated to achieve processing capabilities that can handle petabyte-scale applications. -
11
nb-clean
Clean Jupyter notebooks of outputs, metadata, and empty cells
...You may prefer this to the Git filter if your project already uses the pre-commit framework. Note that the Git filter and pre-commit hook work differently, with different effects on your working directory. The pre-commit hook operates on the notebook on disk, cleaning the copy in your working directory. The Git filter cleans notebooks as they are added to the index, leaving the copy in your working directory dirty. -
12
Feather.jl
Read and write feather files in pure Julia
Feather.jl provides a pure Julia library for reading and writing feather-formatted binary files, an efficient on-disk representation of a DataFrame. -
13
graphdot
Visualize Go module dependencies in Graphviz DOT format
...The output can be piped directly into dot to generate a PNG image file. For large graphs with many nodes of dependencies, you may want to generate an SVG file to allow you to zoom in with high fidelity and save disk space instead. If you like a more UML'ish style, you can use the provided graph properties from uml.gprops. -
14
UndoTree
The undo history visualizer for VIM
...If you want to keep your undo history permanently, Vim offers a persistent undo feature. This feature saves your undo history to a file on disk, allowing you to preserve your undo history across editing sessions. To enable persistent undo, refer to the instructions below. This can be a useful option for those who want to maintain a long-term undo history for a file or project. -
15
CCDLAB
A FITS image data viewer & reducer, and UVIT Data Reduction Pipeline.
CCDLAB is a FITS image data viewer, reducer, and UVIT Data Pipeline. The latest CCDLAB installer can be downloaded here: https://github.com/user29A/CCDLAB/releases The Visual Studio 2017 project files can be found here: https://github.com/user29A/CCDLAB/ Those may not be the latest code files as code is generally updated a few times a week. If you want the latest project files then let me know. -
16
Hetionet
Hetionet: an integrative network of disease
...However, if you would like to access Hetionet without Neo4j, then we suggest the JSON format. The matrix format refers to HetMat archives, which store edge adjacency matrices on disk. Additional usage information is available at the corresponding download locations. -
17
PHPlot
A PHP class for creating graphs, plots, charts
...Labels, tick marks, plot legend, and X/Y axes and more are all configurable. Images can be imported as a background, multiple graphs can be drawn on one image, and images can be saved to disk or returned to a browser. -
18
Apache Kafka
Mirror of Apache Kafka
Apache Kafka is a distributed streaming platform built around durable, partitioned logs called topics, enabling high-throughput, fault-tolerant event pipelines. Producers append records to partitions, brokers replicate them for durability, and consumer groups read them at their own pace while balancing work across instances. The commit/offset model and retention policies support patterns from real-time processing to event sourcing and audit trails. Exactly-once processing semantics,... -
19
Kity Minder
Baidu brain map
...At the same time, it gives full play to the advantages of web cloud storage, and can directly synchronize the edited brain map to the cloud. In addition, with the original "cloud disk sharing" function, users can directly generate an online link from the currently edited brain map with one click and share it with other users to achieve seamless communication. KityMinder is implemented based on SVG technology and supports most major browsers. -
20
Big Sack
Big Sack: A lightweight Java Key/Value store with undo and disk cache.
Big Sack is a Java persistence mechanism that allows storage of key value pairs following the popular Big Data paradigms. Its a very simple and straightforward way to bridge the gap between in-memory data structures and long-term storage. It has the convenience of Java SDK TreeMap and TreeSet classes and is used the same easy way, but it includes rollback through undo logging to checkpoint data so it does not wind up in an unknown state regardless of failures. Data storage in the exabyte... -
21
Portable Linux
Portable Ubuntu Linux for Scientific Computing
Released August 22, 2013 Lubuntu Blends: Biochemistry 13.04 (Raring) v5.44 Linux Kernel Image 3.8.0-29 Lubuntu Blends are pre-installed Wubi disk image remixes of Ubuntu and Debian Science meta packages, A custom boot loader allows installations to be copied and automatically booted from most external or USB flash drives. Once up and running, use earlier Lubuntu Remix README instructions here until documentation is updated. https://sourceforge.net/projects/portable-linux/files/ Installation 1. ... -
22
WaveSorter
A powerful, versatile tool for offilne spike analysis and sorting
...The user may cluster waveforms manually or via one of several popular clustering programs. The classification along with waveform properties (width, etc.) can be saved to disk in simple text files. WaveSorter is written in C++, utilizes the GNU Scientific Library for all computation, and is highly parallelized; on modern hardware it can handle files containing several 100,000s of waveforms per channel with almost no noticeable loss in GUI fluidity and <1sec lags for files with >1,000,000 waveforms per channel. ... -
23
CLIChart is for quick summarising and visualisation of data, especially from system logs. It extracts summary data from text files, and generates simple charts from tabular data on the command line (CLI). Charts can be displayed in a window or saved.
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24
Electrophysiology & circular stats tools
Data analysis and circular statistics with OpenElectrophy and R
...The Python classes show how to call OpenElectrophy functions and save data. The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk. The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem. This packages may be useful for people who start using OpenElectrophy and circular statistics in R. If you find errors, please report them. The project is still in development, so in the future you'll get updates. -
25
Occursions
Fast customizable time series web database for big data like log files
...Who doesn't have `just too many' log files? Occursions asynchronously tails log files and indexes the individual lines in each log file as each line is written to disk so you don't even have to wait for a second after an event happens to search for it. Occursions uses custom disk backed data structures to create and search its indexes so it is very efficient at using CPU, memory and disk. You can extend Occursions with shared libraries to support your own file formats, even binary file formats!
