63 results tagged
analysis
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A pure Python implementation of Fast Fourier Transformations (FFT) for Circuit Python. Ideal for use with the PyBadge, but should work with any Circuit Python-enabled platform. Requires an analog signal input of some kind.
The Internet Weather Map™ (IWM) is a free service that maps latency on the Internet. As an Open Community project, it uses data from volunteers all over the world to feed back latency on the Internet into a central database. Then that data is aggregated, and displayed in table and map formats, allowing you to see how the fast sections of the Internet are running. While it practically not possible to map out every segment of the entire Internet, the IWM product traces tens of thousands of segments to give you an informed idea as to it's overall latency.
The Latency Map is the heart of the service, which displays a map of any delays on the Internet, as well as in a table format. While the table displays the slowest segments, the map normally only displays delays (latency over 300ms). The data on this tab will refresh every 60 seconds, so there is no need to re-load the page manually.
Tools allows you get information on your domain name, including an MX Record Lookup, and some additional diagnostics.
The Latency Map is the heart of the service, which displays a map of any delays on the Internet, as well as in a table format. While the table displays the slowest segments, the map normally only displays delays (latency over 300ms). The data on this tab will refresh every 60 seconds, so there is no need to re-load the page manually.
Tools allows you get information on your domain name, including an MX Record Lookup, and some additional diagnostics.
HoloViews is an open-source Python library designed to make data analysis and visualization seamless and simple. With HoloViews, you can usually express what you want to do in very few lines of code, letting you focus on what you are trying to explore and convey, not on the process of plotting. Designed with Jupyter notebook-style data exploration primarily but it doesn't seem to b e a requirement.
A site where people study information about themselves - genomics, text, social networks - and share their techniques for doing so. I'm not entirely sure I'd feel safe uploading anything here, but at the very least some techniques could be learned from it.
A Python framework for doing graphical data analysis without needing to know Javascript. Visualizations are updated in realtime as they are interacted with. You'll have to write some code to set it up, it would appear mostly to get the data into the application to begin with.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. Tulip aims to provide the developer with a complete library, supporting the design of interactive information visualization applications for relational data that can be tailored to the problems he or she is addressing.
Comes with Python embedded to interact with the data.
Versions for multiple OSes are available. Might be worth grabbing the .appimage to save time.l
Comes with Python embedded to interact with the data.
Versions for multiple OSes are available. Might be worth grabbing the .appimage to save time.l
This python script will detect modem events like DTMF Digits, Busy Tone, Silence etc from phone line using Raspberry Pi 3. Seems to do audio signal analysis to do this.
A deep learning NLP modeling framework based on PyTorch. Text classifiers, sequence taggers, joint intent-slot models.
Orc is a post-exploitation framework for Linux written in Bash.
VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media. It is fully open-sourced under the MIT License]. Incorporated into NLTK.
Open source machine learning and data visualization for novice and expert. Interactive data analysis workflows with a large toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Interactive data exploration. Add-ons available.
Visualization and exploration software for all kinds of graphs and networks. Map and explore data points and entities. Trace links between entities. Analyze graph data for patterns. Can be extended with plugins (https://gephi.org/plugins/).
Aleph is a tool for indexing large amounts of both documents (PDF, Word, HTML) and structured (CSV, XLS, SQL) data for easy browsing and search. It is built with investigative reporting as a primary use case. Aleph allows cross-referencing mentions of well-known entities (such as people and companies) against watchlists, e.g. from prior research or public datasets. Web-based search. Processing includes optical character recognition, language and encoding detection and named entity extraction. Load structured entity graph data from databases and CSV files. This allows navigation of complex datasets like companies registries, sanctions lists or procurement data.
Snips NLU (Natural Language Understanding) is a Python library that allows to parse sentences written in natural language and extracts structured information. Behind every chatbot and voice assistant lies a common piece of technology: Natural Language Understanding (NLU). Anytime a user interacts with an AI using natural language, their words need to be translated into a machine-readable description of what they meant. The NLU engine first detects what the intention of the user is (a.k.a. intent), then extracts the parameters (called slots) of the query. The developer can then use this to determine the appropriate action or response.
A text-based signal and spectrum analyzer for RTL-SDR radios. Everything is done in ASCII in realtime. Allows you to tune the radio as well as watch it.
This source code is an implementation of the TextRank algorithm (Automatic summarization) on PHP7 strict mode. It can summarize a text, article for example to a short paragraph. Before it would start the summarizing it removes the junk words what are defined in the Stopwords namespace. It is possible to extend it with another languages.
Datasette provides an instant, read-only JSON API for any SQLite database, even those applications on your system maintain. It also provides tools for packaging the database up as a Docker container and deploying that container to hosting providers such as Zeit Now. Got CSV data? Use csvs-to-sqlite to convert them to SQLite. Runs its own webserver on localhost:8001 so you don't need to write code to use it, just point it at a .sqlite3 file.
Requires Python 3.
Requires Python 3.
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