Search Results for "static analysis tools for python"
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3 projects for "static analysis tools for python" with 2 filters applied:
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Teradata VantageCloud Enterprise is a data analytics platform for performing advanced analytics on AWS, Azure, and Google Cloud.VantageCloud is the complete cloud analytics and data platform, delivering harmonized data and Trusted AI for all. Built for performance, flexibility, and openness, VantageCloud enables organizations to unify diverse data sources, run complex analytics, and deploy AI models—all within a single, scalable platform.
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Discover the power of eDiscovery for law firms.DWR eDiscovery allows legal professionals to process, analyze, review, and produce documents that are relevant to litigation and other legal disclosure obligations. Our tools allow easy ingestion and analysis of client and opposing party documents using a comprehensive set of document review features including AI search, keyword search, keyword highlighting, metadata filtering, marking documents, privilege log management, redactions, and a range of analysis tools to help users best understand their document corpus.
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Metrix++
Management of source code quality is possible.
The project has been moved to https://github.com/metrixplusplus/metrixplusplus ______________________ Metrix++ is an extendable tool to collect and analyse code metrics. - Multiple languages supported - Multiple metrics available - Configurable. Every metric has got 'turn-on' and other configuration options. There are no predefined thresholds for metrics or rules. You can choose and configure any limit you want. - High-performance. Processes thousands of files per minutes. -... -
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TODOs
Search TODO, FIXME and similar comments in project files.
TODOs is a small command-line utility to search TODO, FIXME and similar comments in project files. It is written in Python 3 and licensed under the terms of GNU GPL 3 license. Supported output formats are TXT, HTML and XML. -
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XJML
XJML 1.0 is a platform for Verification and Validation of Java classes
XJML 1.0 actually can reads one Java class and its contract (written in XML) and then executes the next verification techniques: 1. Runtime Assertion Checking (RAC). Using JML4c and JML4rt tools. 2. Extended Static Checking (ESC). Using ESC/Java2. 3. Full Static Program Verification (FSPV). Using the Why platform (tested with Why 2.30 and Why3 0.71)
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