Search Results for "data structure"
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Showing 3 open source projects for "data structure"
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Automate contact and company data extractionGenerate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
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Incredable is the first DLT-secured platform that allows you to save time, eliminate errors, and ensure your organization is compliant all in one place.Incredable streamlines and simplifies the complex process of medical credentialing for hospitals and medical facilities, helping you save valuable time, reduce costs, and minimize risks. With Incredable, you can effortlessly manage all your healthcare providers and their credentials within a single, unified platform. Our state-of-the-art technology ensures top-notch data security, giving you peace of mind.
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RedisJSON
RedisJSON - a JSON data type for Redis
RedisJSON is a Redis module that implements ECMA-404 The JSON Data Interchange Standard as a native data type. It allows storing, updating and fetching JSON values from Redis keys (documents). -
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jless
jless is a command-line JSON viewer designed for reading
...Use it as a replacement for whatever combination of less, jq, cat and your editor you currently use for viewing JSON files. It is written in Rust and can be installed as a single standalone binary. Clean syntax highlighted display of JSON data, omitting quotes around object keys, closing object and array delimiters, and trailing commas. Expand and collapse objects and arrays so you can see both the high- and low-level structure of the data. -
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Pikkr
JSON parser to pick up values directly without performing tokenization
JSON Parser which picks up values directly without performing tokenization in Rust. Pikkr is a JSON parser that picks up values directly without performing tokenization in Rust. Creates an index which maps logical locations of queried fields to their physical locations by using SIMD instructions and bit manipulation. Finds values of queried fields by scanning a JSON record using the index created in the previous process and learns their logical locations (i.e. pattern of the JSON structure)...
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