Search Results for "storage back up"

Arctic is a timeseries/dataframe database that sits atop MongoDB. Arctic supports serialization of a number of datatypes for storage in the mongo document model. Serializes a number of data types eg. Pandas DataFrames, Numpy arrays, Python objects via pickling etc. so you don't have to handle different datatypes manually. Uses LZ4 compression by default on the client side to get big savings on network / disk. Allows you to version different stages of an object and snapshot the state (In some ways similar to git), and allows you to freely experiment and then just revert back the snapshot. ...

...GraphQL endpoints represent a relatively newer attack vector compared to REST, and GraphQLmap helps bridge this gap by providing tooling tailored to the GraphQL paradigm. Because many modern applications adopt GraphQL for flexibility, this tool is useful when scanning and attacking API back ends where typical REST-based tools fall short. For a pentester, GraphQLmap speeds up discovery and exploitation workflows: you don’t just test known endpoints—you enumerate schema, fuzz fields, and chain queries. It offers a CLI, supports various HTTP methods, custom headers, proxies, and is designed to work with real-world GraphQL deployments.

...It aggregates headwords, phonetics, parts of speech, translations, and example information into formats that are easy to integrate. The project provides multiple distribution forms—commonly SQLite/CSV/StarDict-style files—so you can choose the right storage and query approach for your app. Because it’s offline and local, it avoids network latency and licensing hurdles that come with calling proprietary dictionary APIs. The dataset is large enough to support general-purpose lookup while being manageable to ship with desktop or mobile apps. For builders, it’s a pragmatic foundation for dictionary apps, pop-up translators, flashcard tools, or NLP preprocessing.