Search Results for "maps" - Page 4
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Showing 1855 open source projects for "maps"
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Discover and manage administrator, service, and web app passwords, keys, and identities. Automate management with approval workflows. Centrally control, audit, monitor, and record all access to critical IT assets.
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1
Livebook
Interactive and collaborative code notebooks for Elixir
Livebook is a web application for writing interactive and collaborative code notebooks. Write notebooks in Livebook then securely deploy and share them with your team and company with Livebook Hub/Enterprise. Code notebooks with Markdown support and Code cells where Elixir code is evaluated on demand. Rich code editor through Monaco: with support for autocompletion, inline documentation, code formatting, etc. Interactive results via Kino: display Vega-Lite charts, tables, maps, and more... -
2
react-map-gl
React friendly API wrapper around MapboxGL JS
react-map-gl is a suite of React components designed to provide a React API for Mapbox GL JS-compatible libraries. More information is in the online documentation. Starting with v2.0, mapbox-gl requires a Mapbox token for any usage, with or without the Mapbox data service. See about Mapbox tokens for your options. To show maps from a service such as Mapbox you will need to register on their website in order to retrieve an access token required by the map component, which will be used... -
3
linaria
Zero-runtime CSS in JS library
Write CSS in JS and get real CSS files during build. Use dynamic prop-based styles with the React bindings and have them transpiled to CSS variables automatically. Great productivity with source maps and linting support. Write CSS in JS, but with zero runtime, CSS is extracted to CSS files during build. Use dynamic prop-based styles with the React bindings, uses CSS variables behind the scenes. Optionally use any CSS preprocessor such as Sass or PostCSS. Easily find where the style was defined... -
4
SystemJS
Dynamic ES module loader
SystemJS is a hookable, standards-based module loader. It provides a workflow where code written for production workflows of native ES modules in browsers (like Rollup code-splitting builds), can be transpiled to the System.register module format to work in older browsers that don't support native modules, running almost-native module speeds while supporting top-level await, dynamic import, circular references and live bindings, import.meta.url, module types, import maps, integrity and Content... -
Out-of-the-box scripts. Around-the-clock monitoring. Unmatched automation capabilities. Start doing more with less and exceed service delivery expectations.
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5
Minder
Mind-mapping application for Elementary OS
Use the power of mind-mapping to make your ideas come to life. Mind-mapping application for Elementary OS -
6
Learning Interpretability Tool
Interactively analyze ML models to understand their behavior
The Learning Interpretability Tool (LIT, formerly known as the Language Interpretability Tool) is a visual, interactive ML model-understanding tool that supports text, image, and tabular data. It can be run as a standalone server, or inside of notebook environments such as Colab, Jupyter, and Google Cloud Vertex AI notebooks. -
7
LovelyPlots
Matplotlib style sheets to nicely format figures for scientific papers
LovelyPlots is a repository containing matplotlib style sheets to nicely format figures for scientific papers, theses, and presentations while keeping them fully editable in Adobe Illustrator. Additionally, .svg export options allow figures to automatically adapt their font to your document's font. For example, .svg figures imported in a .tex file will automatically be generated with the text font used in your .tex file. -
8
tfk8s
A tool for converting Kubernetes YAML manifests to Terraform HCL
tfk8s is a tool that makes it easier to work with the Terraform Kubernetes Provider. If you want to copy examples from the Kubernetes documentation or migrate existing YAML manifests and use them with Terraform without having to convert YAML to HCL by hand, this tool is for you. -
9
Pixie
Instant Kubernetes-Native Application Observability
Pixie is an open-source observability tool for Kubernetes applications. Use Pixie to view the high-level state of your cluster (service maps, cluster resources, application traffic) and also drill down into more detailed views (pod state, flame graphs, individual full-body application requests). Pixie uses eBPF to automatically collect telemetry data such as full-body requests, resource and network metrics, application profiles, and more. Pixie collects, stores and queries all telemetry data... -
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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10
Jaeger UI
Web UI for Jaeger
Visualize distributed tracing with Jaeger. Distributed tracing observability platforms, such as Jaeger, are essential for modern software applications that are architected as microservices. Jaeger maps the flow of requests and data as they traverse a distributed system. These requests may make calls to multiple services, which may introduce their own delays or errors. Jaeger connects the dots between these disparate components, helping to identify performance bottlenecks, troubleshoot errors... -
11
CoordinateTransformations.jl
A fresh approach to coordinate transformations
CoordinateTransformations is a Julia package to manage simple or complex networks of coordinate system transformations. Transformations can be easily applied, inverted, composed, and differentiated (both with respect to the input coordinates and with respect to transformation parameters such as rotation angle). Transformations are designed to be light-weight and efficient enough for, e.g., real-time graphical applications, while support for both explicit and automatic differentiation makes... -
12
Agents.jl
Agent-based modeling framework in Julia
Agents.jl is a pure Julia framework for agent-based modeling (ABM): a computational simulation methodology where autonomous agents react to their environment (including other agents) given a predefined set of rules. The simplicity of Agents.jl is due to the intuitive space-agnostic modeling approach we have implemented: agent actions are specified using generically named functions (such as "move agent" or "find nearby agents") that do not depend on the actual space the agents exist in, nor... -
13
DifferentialEquations.jl
Multi-language suite for high-performance solvers of equations
This is a suite for numerically solving differential equations written in Julia and available for use in Julia, Python, and R. The purpose of this package is to supply efficient Julia implementations of solvers for various differential equations. The well-optimized DifferentialEquations solvers benchmark as some of the fastest implementations, using classic algorithms and ones from recent research which routinely outperform the “standard” C/Fortran methods, and include algorithms optimized... -
14
Glaze
Extremely fast, in memory, JSON and interface library for modern C++
One of the fastest JSON libraries in the world. Glaze reads and writes from C++ memory, simplifying interfaces and offering incredible performance. Glaze also supports binary messages via BEVE and CSV support. And, the library has many more useful features for building APIs. -
15
lo
A Lodash-style Go library based on Go 1.18+ Generics
.... In the future, 5 to 10 helpers will overlap with those coming into the Go standard library (under package names slices and maps). I feel this library is legitimate and offers many more valuable abstractions. -
16
Ocelot
.NET core API Gateway
... to a downstream service. The middleware that makes the request is the last thing in the Ocelot pipeline. It does not call the next middleware. The response from the downstream service is retrieved as the requests goes back up the Ocelot pipeline. There is a piece of middleware that maps the HttpResponseMessage onto the HttpResponse object and that is returned to the client. That is basically it with a bunch of other features! -
17
WordPressify
Automate your WordPress development workflow
A build system designed to automate your WordPress development workflow. WordPressify is a simple tool that helps you build WordPress themes and plugins. It takes care of the development experience by providing a web server with a database out of the box, with zero configuration required. A development server for PHP and MariaDB database out of the box. Watches for all your changes and reloads in real-time. Preprocessors, PostCSS or Sass with source maps. Babel compiler for writing next... -
18
Flatbush
A very fast static spatial index for 2D points and rectangles in JS
A really fast static spatial index for 2D points and rectangles in JavaScript. An efficient implementation of the packed Hilbert R-tree algorithm. Enables fast spatial queries on a very large number of objects (e.g. millions), which is very useful in maps, data visualizations and computational geometry algorithms. -
19
leafmap
A Python package for interactive mapping and geospatial analysis
.... It is a free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, and JupyterLab. Leafmap is built upon several open-source packages, such as folium and ipyleaflet (for creating interactive maps), WhiteboxTools and whiteboxgui (for analyzing geospatial data), and ipywidgets (for designing interactive graphical user interface [GUI]). -
20
segment-geospatial
A Python package for segmenting geospatial data with the SAM
The segment-geospatial package draws its inspiration from segment-anything-eo repository authored by Aliaksandr Hancharenka. To facilitate the use of the Segment Anything Model (SAM) for geospatial data, I have developed the segment-anything-py and segment-geospatial Python packages, which are now available on PyPI and conda-forge. My primary objective is to simplify the process of leveraging SAM for geospatial data analysis by enabling users to achieve this with minimal coding effort. I... -
21
Knative Serving
Kubernetes-based, scale-to-zero, request-driven compute
... revision or to a pinned revision. The route.serving.knative.dev resource maps a network endpoint to one or more revisions. You can manage the traffic in several ways, including fractional traffic and named routes. The configuration.serving.knative.dev resource maintains the desired state for your deployment. It provides a clean separation between code and configuration and follows the Twelve-Factor App methodology. Modifying a configuration creates a new revision. -
22
Django Notebook
Django + shell_plus + Jupyter notebooks made easy
Django + shell_plus + Jupyter notebooks made easy. A Jupyter notebook with access to objects from the Django ORM is a powerful tool to introspect data and run ad-hoc queries. Built-in integration with the imported objects from django-extensions shell_plus. Saves the state between sessions so you don't need to remember what you did. Inheritance diagrams on any object, including ORM models. -
23
OrdinaryDiffEq.jl
High performance ordinary differential equation (ODE)
This is a suite for numerically solving differential equations written in Julia and available for use in Julia, Python, and R. The purpose of this package is to supply efficient Julia implementations of solvers for various differential equations. The well-optimized DifferentialEquations solvers benchmark as some of the fastest implementations, using classic algorithms and ones from recent research that routinely outperform the “standard” C/Fortran methods, and include algorithms optimized... -
24
StringZilla
10x faster string search, split, sort, and shuffle for long strings
... memory-maps a file from persistent memory without loading its copy into RAM. The contents of that file would remain immutable, and the mapping can be shared by multiple Python processes simultaneously. A standard dataset pre-processing use case would be to map a sizeable textual dataset like Common Crawl into memory, spawn child processes, and split the job between them. -
25
Adblock FastOwnTracks Recorder
Store and access data published by OwnTracks apps
The OwnTracks Recorder is a lightweight program for storing and accessing location data published via MQTT (or HTTP) by the OwnTracks apps. It is a compiled program which is easy to install and operate even on low-end hardware, and it doesn't require an external database. There are two main components: the Recorder obtains data via MQTT subscribes or HTTP POST, stores the data in plain files and serve it via its built-in REST API, and the ocat command-line utility reads stored data in a...