Search Results for "data curve"
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Showing 116 open source projects for "data curve"
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1
XCharts
A charting and data visualization library for Unity
A charting and data visualization library for Unity. Unity data visualization chart plugin. A UGUIpowerful, easy-to-use, parameter-configurable data visualization chart plug-in. It supports ten built-in charts. A powerful, easy-to-use, configurable charting and data visualization library for Unity. Visual configuration of parameters, real-time preview of effects, and pure code drawing without additional resources. -
2
Hello Algorithm
Animated illustrations, one-click data structure
Animated illustrations, one-click data structure and algorithm tutorials. This project aims to create an open source, free, novice-friendly introductory tutorial on data structures and algorithms. The whole book uses animated illustrations, the content is clear and easy to understand, and the learning curve is smooth, guiding beginners to explore the knowledge map of data structures and algorithms. -
3
KubeBlocks
KubeBlocks is an open-source control plane that runs and manages datab
Building data infrastructure on K8s has become increasingly popular. However, the most prominent obstacles are the difficulties of integrating with cloud providers, the lack of reliable operators, and the steep learning curve of K8s. KubeBlocks offers an open-source option that helps application developers and platform engineers set up feature-rich services for RDBMS, NoSQL, streaming and analytical systems. -
4
BasicBSpline.jl
Basic (mathematical) operations for B-spline functions
Basic (mathematical) operations for B-spline functions and related things with Julia. -
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5
ROOT
Analyzing, storing and visualizing big data, scientifically
...ROOT comes with histogramming capabilities in an arbitrary number of dimensions, curve fitting, statistical modeling, and minimization, to allow the easy setup of a data analysis system that can query and process the data interactively or in batch mode, as well as a general parallel processing framework, RDataFrame, that can considerably speed up an analysis. -
6
FanCtrl
FanCtrl allows you to automatically control the fan speed
...The project supports a range of control backends and integrations, including motherboard fan headers and several popular cooling ecosystems, and it can also pull sensor data from common monitoring tools so your fan logic can react to the readings you trust. A core concept is “auto fan control” profiles where you pick a target temperature sensor, select which fans should follow it, and then shape the curve via a graph-like interface. It also includes quality-of-life options like renaming items, choosing units (including Fahrenheit), and starting minimized for a set-it-and-forget-it setup. -
7
Zstandard
Zstandard - Fast real-time compression algorithm
Zstandard is a fast compression algorithm, providing high compression ratios. It also offers a special mode for small data, called dictionary compression. The reference library offers a very wide range of speed / compression trade-off, and is backed by an extremely fast decoder (see benchmarks below). Zstandard library is provided as open source software using a BSD license. Its format is stable and published as IETF RFC 8478. The negative compression levels, specified with --fast=#, offer... -
8
Handsontable
JavaScript data grid with a spreadsheet look & feel
Rock-solid data grid for web applications. A JavaScript component that combines data grid features with spreadsheet-like UX. Legendary support included. Works with React, Angular, Vue, and JavaScript. When you work with Handsontable, it's like you're working with Excel or Google Sheets. There's no steep learning curve – you can start working effectively from day one. -
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OpenBB Terminal
Investment research for everyone, anywhere
...In addition, users are allowed to export any type of data to any type of format whether that is raw data in Excel or an image in PNG. This is ideal for finance content creation. Create notebook templates (through papermill) which can be run on different tickers. This level of automation allows to speed up the development of your investment thesis and reduce human error. -
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10
CssSelector Component
Converts CSS selectors to XPath expressions
XPath expressions are incredibly flexible, so there is almost always an XPath expression that will find the element you need. Unfortunately, they can also become very complicated, and the learning curve is steep. Even common operations (such as finding an element with a particular class) can require long and unwieldy expressions. CSS selectors are less powerful than XPath, but far easier to write, read and understand. Since they are less powerful, almost all CSS selectors can be converted to... -
11
GNU Emacs / N Λ N O
Emacs made simple
...It retains essential editing capabilities while stripping down much of the complexity and heavyweight features that can make traditional Emacs intimidating to newcomers. The project includes only minimal configuration and essential extensions, enabling users to start editing text comfortably without wrestling with a steep learning curve or bloated init files. This makes it appealing for users who like the power of Emacs (or similar advanced editors) but want a fast, responsive, and easy-to-maintain editor. Nano-Emacs can be especially useful for scripting, quick edits, data-analysis workflows, or writing in scientific/research contexts, especially when you want something more powerful than a simple text editor but lighter than a full IDE. -
12
Crystal
The crystal programming language
Crystal’s syntax is heavily inspired by Ruby’s, so it feels natural to read and easy to write, and has the added benefit of a lower learning curve for experienced Ruby devs. Crystal is statically type checked, so any type errors will be caught early by the compiler rather than fail on runtime. Moreover, and to keep the language clean, Crystal has built-in type inference, so most type annotations are unneeded. All types are non-nilable in Crystal, and nilable variables are represented as a... -
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Kangaroo
Kangaroo is an AI-powered SQL client and admin tool for popular dbs
...The system aims to bridge the gap between traditional database tools and modern AI-driven workflows. Overall, Kangaroo transforms SQL clients into intelligent assistants that improve productivity and reduce the learning curve for database interactions. -
14
Curve
Curve is a sandbox project hosted by the CNCF Foundation
A cloud-native distributed storage system. A sandbox project hosted by the CNCF Foundation. Curve is a modern storage system developed by netease, currently supporting file storage(CurveFS) and block storage(CurveBS). Now it's hosted at CNCF as a sandbox project. The performance, mixed, capacity cloud disk or persistent volume of virtual machine/container, and remote disks of physical machines. High-performance separation of storage and computation architecture: high-performance and low... -
15
Signature Pad
HTML5 canvas based smooth signature drawing
Signature Pad is a JavaScript library for drawing smooth signatures. It's HTML5 canvas based and uses variable width Bézier curve interpolation based on Smoother Signatures post by Square. It works in all modern desktop and mobile browsers and doesn't depend on any external libraries. Demo works in desktop and mobile browsers. You can check out its source code for some tips on how to handle window resize and high DPI screens. You can also find more about the latter in HTML5 Rocks tutorial.... -
16
jimmer
A revolutionary ORM framework for both java and kotlin.
...CDC solutions decoupled from specific caching technologies are transparent to business code. Requires no special prior knowledge - veterans of any ORM can quickly and painlessly migrate. The learning curve is scientifically friendly, serving as a high-quality reference for new learners of ORM usage. -
17
My Python Eggs
Python Examples
My Python Eggs, commonly associated with the geekcomputers Python repository, is a large collection of practical Python scripts and small programs created primarily for experimentation, automation, and educational purposes. Rather than being a single cohesive application, it functions as a repository of utilities that demonstrate how Python can be used to solve everyday problems and automate repetitive tasks. The scripts cover a wide range of topics, including file management, networking,... -
18
SuperAgent
Ajax for Node.js and browsers (JS HTTP client)
SuperAgent is light-weight progressive ajax API crafted for flexibility, readability, and a low learning curve after being frustrated with many of the existing request APIs. It also works with Node.js! Small progressive client-side HTTP request library, and Node.js module with the same API, supporting many high-level HTTP client features. Browser-ready versions of this module are available via jsdelivr, unpkg, and also in the node_modules/superagent/dist folder in downloads of the superagent... -
19
Gwyddion
Scanning probe microscopy data visualisation and analysis
A data visualization and processing tool for scanning probe microscopy (SPM, i.e. AFM, STM, MFM, SNOM/NSOM, ...) and profilometry data, useful also for general image and 2D data analysis. -
20
Hydronet Analyzer v5.0
HydroNet Analyzer is a piping dynamic analysis software.
...Pump Data - Choose Auto to generate a pump characteristic curve from the current system data. - Choose Manual to edit the pump characteristic table directly. - Reset Curve Data returns -
21
NumeRe
Framework for numerical computations, data analysis and visualisation
Curve fitting | Data analysis | Plotting | Matrix operations | FFT | Extensible framework | Multiple file formats | Programmable | Open source | Free for everyone NumeRe: Framework for Numerical Computation is a numerical framework written for Microsoft Windows(R) and released under the GNU GPL v3 for solving and visualizing mathematical and physical problems numerically. -
22
Eleana
Program for the analysis of spectroscopic data, in particular EPR(ESR)
Eleana is a program for manipulating, modifying and analyzing various spectroscopic data, in particular electron paramagnetic resonance spectra. It allows you to import data from Bruker spectrometers such as Elexsys or EMX and data from any ASCII file or imported from the clipboard. The program is under constant development, but already has many functions implemented for spectral analysis. Some of the basic functions include: baseline corrections, filtering, spectral clipping, integration / differentiation, pseudomodulation, filtering, etc. ... -
23
FlexCurve
Layer-based headphone calibration, AutoEQ and FIR rendering
FlexCurve is a VST3 headphone-correction curve editor, layer-based calibration tool, AutoEQ workspace, and FIR renderer. It imports local TXT, CSV, Equalizer APO / Wavelet GraphicEQ, APO Parametric EQ, Melda FreeForm EQ CSV, and WAV FIR files as editable layers, previews changes in real time, blends active layers into an Average curve, and renders the result as Minimum, Natural, or Linear phase FIR. -
24
relax
Molecular dynamics by NMR data analysis
The software package 'relax' is designed for the study of molecular dynamics through the analysis of experimental NMR data. Organic molecules, proteins, RNA, DNA, sugars, and other biomolecules are all supported. It supports exponential curve fitting for the calculation of the R1 and R2 relaxation rates, calculation of the NOE, reduced spectral density mapping, the Lipari and Szabo model-free analysis, study of domain motions via the N-state model and frame order dynamics theories using anisotropic NMR parameters such as RDCs and PCSs, the investigation of stereochemistry in dynamic ensembles, and the analysis of relaxation dispersion data. -
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KherveSheet
Excel for scientists: high-quality plots, Python in cells, AI side bar
...Plotting Charts are generated using matplotlib and embedded directly in the sheet as movable, resizable objects. You have full control over axes, scales, ticks, titles and grids. Curve fitting and peak fitting are supported, with goodness-of-fit reporting overlaid on the plot. Every cell can also run a full Python program, not just a formula. An integrated AI assistant can generate the cell code from a plain-language description if needed. Learn by doing with 300 ready-made scientific examples covering plotting, data analysis, fitting and simulation. ...