Search Results for "size"
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Showing 59 open source projects for "size"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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WordCloud.jl
Word cloud generator in julia
...Each word appears only once, and its font size is determined solely by the provided weight. Words are never repeated or shrunk artificially to fill empty spaces. It utilizes intelligent strategies and efficient nesting algorithms, implemented entirely in Julia (see Stuffing.jl). As a result, it can easily generate high-resolution word clouds. -
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ImageInTerminal.jl
Julia package for displaying images in the terminal using ANSI colors
ImageInTerminal is a drop-in package that once imported changes how a single Colorant and whole Colorant arrays (regular images) are displayed in the interactive REPL. The displayed images will be downscaled to fit into the size of your active terminal session. By default, this package will detect if your running terminal supports 24-bit colors (true colors). If it does, the image will be displayed in 24-bit colors, otherwise, it falls back to 8-bit (256 colors). -
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pandas
Fast, flexible and powerful Python data analysis toolkit
pandas is a Python data analysis library that provides high-performance, user friendly data structures and data analysis tools for the Python programming language. It enables you to carry out entire data analysis workflows in Python without having to switch to a more domain specific language. With pandas, performance, productivity and collaboration in doing data analysis in Python can significantly increase. pandas is continuously being developed to be a fundamental high-level building... -
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Charts.css
Open source CSS framework for data visualization
Charts.css is a modern CSS framework. It uses CSS utility classes to style HTML elements as charts. No dependencies. 72kb file size. Less than 6kb gzipped file size! Visualization helps end-users understand data. Charts.css help frontend developers turn data into beautiful charts and graphs using simple CSS classes. The data is structured using semantic HTML tags and styled using CSS classes which change the visual representation displayed to the end-user. The framework offers developers flexibility. ... -
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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ggraph
Grammar of Graph Graphics
ggraph adapts the Grammar of Graphics from ggplot2 for network and graph visualizations. It integrates with tidygraph/igraph data structures, providing a wide range of geoms, layouts (e.g. hive plots, circle packing), and layering methods tailored to hierarchical or relational data. -
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echarts-for-react
Apache ECharts components for React wrapper
...It also exposes access to the underlying ECharts instance, which lets developers use the full ECharts API when needed. The project includes guidance for importing ECharts modules manually to reduce bundle size and for using it with Next.js. Overall, it is a practical bridge between React projects and the full charting power of Apache ECharts. -
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FiniteDifferences.jl
High accuracy derivatives, estimated via numerical finite differences
FiniteDifferences.jl estimates derivatives with finite differences. See also the Python package FDM. FiniteDiff.jl and FiniteDifferences.jl are similar libraries: both calculate approximate derivatives numerically. You should definitely use one or the other, rather than the legacy Calculus.jl finite differencing, or reimplementing it yourself. At some point in the future, they might merge, or one might depend on the other. -
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JUDI.jl
Julia Devito inversion
JUDI is a framework for large-scale seismic modeling and inversion and is designed to enable rapid translations of algorithms to fast and efficient code that scales to industry-size 3D problems. The focus of the package lies on seismic modeling as well as PDE-constrained optimization such as full-waveform inversion (FWI) and imaging (LS-RTM). Wave equations in JUDI are solved with Devito, a Python domain-specific language for automated finite-difference (FD) computations. JUDI's modeling operators can also be used as layers in (convolutional) neural networks to implement physics-augmented deep learning algorithms thanks to its implementation of ChainRules's rrule for the linear operators representing the discre wave equation. -
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Obsidian Visual Skills Pack
Generate Canvas, Excalidraw, and Mermaid diagrams from text
...Traditional approaches often dump entire files into a model’s context, which quickly exceeds token limits; LLM-TLDR instead indexes project structure, traces dependencies, and summarizes code in a way that preserves semantic relevance while shrinking input size by up to 95 %. This makes queries and analysis much faster and cheaper, with dramatic token savings and latency improvements for LLM-driven development workflows. The project supports multiple programming languages and includes utilities for warming an index and then generating LLM-ready contexts or summaries of specific parts of a project. -
Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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D-Tale
Visualizer for pandas data structures
...To help guard against users loading the same data to D-Tale multiple times and thus eating up precious memory, we have a loose check for duplicate input data. If you are running ipython<=5.0 then you also have the ability to adjust the size of your output cell for the most recent instance displayed. JupyterHub has an extension that allows to proxy port for user, JupyterHub Server Proxy. -
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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... -
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MCPower
MCPower — simple Monte Carlo power analysis for complex models
...It guides users through the full workflow across three tabs: Model setup (formula input with live parsing, CSV data upload with auto-detected variable types, effect size sliders, and correlation editing), Analysis configuration (find power for a given sample size or find the minimum sample size for a target power, with multiple testing correction and scenario analysis), and Results (interactive charts, exportable tables, and auto-generated Python replication scripts). Supports both standard linear models and mixed-effects models. ... -
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elder-pt
data flow framework for data analysis applications
Data analysis in nuclear/particle physics experiments is based on data processing of event-by-event data. Each event contains information measured by arrays of detectors. This data has to be combined, processed, interpreted and reduced in size until the physics information of interest is revealed. Eventually, parts of the data is visualized by sorting it into histograms. Elder-Pt is the prototype of a framework, that facilitates the task of event-by-event data analysis. It provides: 1) a parser for textual graph description 2) an API to write processing nodes that will be used in the graph description for the graph 3) a set of frequently used processing nodes -
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Thumbnailer for SXM files
Shell Extension for SXM files for Nanonis SPM images
...This is a shell extension for Windows (Vista, 7 , 8 and above) to enable visualisation of your SXM image files in windows explorer. Hovering over the file also shows a 'tooltip' with information about the image scan size and feedback parameters used. Please make sure you download the correct version, 32 or 64 bit, depending on your computer OS version. If you download and install the incorrect version, it will not work. Great for SXM images, rubbish for anything else! -
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FlexiList.
FlexiList is a Java data structure that combines the benefits of array
...Benefits Over Arrays and ArrayList ->Efficient Insertion and Deletion: FlexiList can insert or delete nodes at any position in the list in O(1) time, whereas arrays require shifting all elements after the insertion or deletion point. ->Dynamic Size: FlexiList can grow or shrink dynamically as elements are added or removed, whereas arrays have a fixed size. ->Good Memory Locality: FlexiList nodes are stored in a contiguous block of memory, making it more cache-friendly than arrays. ->Faster Insertion and Deletion: FlexiList can insert or delete nodes at any position in the list in O(1) time, whereas ArrayList requires shifting all elements after the insertion or deletion point. -
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Social Network Visualizer
Social Network Analysis and Visualization software
Visit our new site: http://socnetv.org Social Network Visualizer (SocNetV) is a social network analysis and visualization application. You can draw a social network (graph/digraph) or load an existing one (GraphML, UCINET, Pajek, etc), compute cohesion, centrality, community and structural equivalence metrics and apply various layout algorithms based on actor centrality or prestige scores (i.e. Eigenvector, Betweenness) or on dynamic models (i.e. Kamada-Kawai spring-embedder) -
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Strings Edit
String editing and formatting library for Ada
Strings edit is a library that provides I/O facilities for integers, floating-point numbers, Roman numerals, and strings. Both input and output subroutines support string pointers for consequent stream processing. The output can be aligned in a fixed size field with padding. Numeric input can be checked against expected values range to be either saturated or to raise an exception. For floating-point output either relative or absolute output precision can be specified. UTF-8 encoded strings are supported, including wildcard pattern matching, sets and maps of code points, upper/lowercase, and other Unicode categorizations. -
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Charmol
Program for molecular graphics
Charmol is a cross-platform GUI/command-line based program for making high-quality pictures of molecular structures, nowadays working on Linux, MacOS and Windows. As output, it produces POV-Ray rendered images or files in VRML format. Charmol is capable of making pictures containing: - from small- to large-size molecules - more molecules together (different settings possible) - orbitals using molden and fchk files (GTO functions up to 'h' angular momentum supported) - surfaces using gaussian cube files (also color-mapped surfaces according to potential) - schematic representation of vibrations using arrows - user-defined arrows representing vectorial properties - measuring gauges - combinations of these features (more orbitals together, orbitals and arrows together etc.) ... -
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VirtualGL
3D Without Boundaries
VirtualGL redirects 3D commands from a Unix/Linux OpenGL application onto a server-side GPU and converts the rendered 3D images into a video stream with which remote clients can interact to view and control the 3D application in real time. -
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VectreViewer: A vector-based file viewer
A Windows-based viewer currently supporting CDR & 2D DXF files
This is a Windows-based wireframe viewer currently designed for CDR & 2D R12 DXF files. The DXF renderer supports arcs, circles, lines and polylines. Support for SVG files is coming shortly. Go here to check for updates: https://www.vvwr.net -
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EZStacking
EZStacking is Jupyter notebook generator for machine learning
...It can also be viewed as a development tool, because a notebook generated with EZStacking contains: -an exploratory data analysis (EDA) used to assess data quality - a modelling producing a reduced-size stacked estimator - a server returning a prediction, a measure of the quality of input data and the execution time. -
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textures.js
SVG patterns for data visualization
Textures.js is a JavaScript library for creating SVG patterns. Made on top of d3.js, it is designed for data visualization. Import textures.js from NPM. You can also use textures.js in your HTML page with a <script> tag by downloading textures.js to a local folder or by using the Unpkg CDN network. Textures.js can be used alongside d3. -
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ETS Offers iClassicMDM - MDM Software
iClassicMDM offered by ETS is a Master Data Platform for all.
We are living at an age where homes are becoming offices, and every offices need better data management tool, data management issues are spiraling. Our passion is to offer affordable data management tools to individuals and enterprises of all size. iClassicMDM is a Master Data Management application that can run on desktop, web server or containers. It allows customers to create data model as per their business needs & expose them for collaboration through a Data Stewardship User Interface & Restful API to exchange data across the ecosystem. It has built in Data Modeler, Databases, Data Quality - Cleanse & Match, Data Flow studio & Data store to accelerate the turn around time. ... -
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WhyLogs Java Library
Profile and monitor your ML data pipeline end-to-end
...WhyLogs is an open source statistical logging library that allows data science and ML teams to effortlessly profile ML/AI pipelines and applications, producing log files that can be used for monitoring, alerts, analytics, and error analysis. WhyLogs calculates approximate statistics for datasets of any size up to TB-scale, making it easy for users to identify changes in the statistical properties of a model's inputs or outputs. Using approximate statistics allows the package to run on minimal infrastructure and monitor an entire dataset, rather than miss outliers and other anomalies by only using a sample of the data to calculate statistics. -
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Optimus
Agile Data Preparation Workflows made easy with Pandas
...Process using a simple API, making it easy to use for newcomers. More than 100 functions to handle strings, process dates, urls and emails. Easily plot data from any size. Out-of-box functions to explore and fix data quality. Use the same code to process your data in your laptop or in a remote cluster of GPUs.
