Alternatives to ToothPicker
Compare ToothPicker alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to ToothPicker in 2026. Compare features, ratings, user reviews, pricing, and more from ToothPicker competitors and alternatives in order to make an informed decision for your business.
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1
LibFuzzer
LLVM Project
LibFuzzer is an in-process, coverage-guided, evolutionary fuzzing engine. LibFuzzer is linked with the library under test, and feeds fuzzed inputs to the library via a specific fuzzing entry point (or target function); the fuzzer then tracks which areas of the code are reached, and generates mutations on the corpus of input data in order to maximize the code coverage. The code coverage information for libFuzzer is provided by LLVM’s SanitizerCoverage instrumentation. LibFuzzer is still fully supported in that important bugs will get fixed. The first step in using libFuzzer on a library is to implement a fuzz target, a function that accepts an array of bytes and does something interesting with these bytes using the API under test. Note that this fuzz target does not depend on libFuzzer in any way so it is possible and even desirable to use it with other fuzzing engines like AFL and/or Radamsa.Starting Price: Free -
2
Atheris
Google
Atheris is a coverage-guided Python fuzzing engine. It supports fuzzing of Python code, but also native extensions written for CPython. Atheris is based on libFuzzer. When fuzzing native code, Atheris can be used to catch extra bugs. Atheris supports Linux (32- and 64-bit) and Mac OS X, with Python versions 3.6-3.10. It comes with a built-in libFuzzer, which is fine for fuzzing Python code. If you plan to fuzz native extensions, you may need to build from source to ensure the libFuzzer version in Atheris matches your Clang version. Atheris relies on libFuzzer, which is distributed with Clang. Apple Clang doesn't come with libFuzzer, so you'll need to install a new version of LLVM. Atheris is based on a coverage-guided mutation-based fuzzer (LibFuzzer). This has the advantage of not requiring any grammar definition for generating inputs, making its setup easier. The disadvantage is that it will be harder for the fuzzer to generate inputs for code that parses complex data types.Starting Price: Free -
3
Jazzer
Code Intelligence
Jazzer is a coverage-guided, in-process fuzzer for the JVM platform developed by Code Intelligence. It is based on libFuzzer and brings many of its instrumentation-powered mutation features to the JVM. You can use Docker to try out Jazzer's autofuzz mode, which automatically generates arguments to a given Java function and reports unexpected exceptions and detected security issues. You can also use GitHub release archives to run a standalone Jazzer binary that starts its own JVM configured for fuzzing.Starting Price: Free -
4
syzkaller
Google
syzkaller is an unsupervised coverage-guided kernel fuzzer. Supports FreeBSD, Fuchsia, gVisor, Linux, NetBSD, OpenBSD, and Windows. Initially, syzkaller was developed with Linux kernel fuzzing in mind, but now it's being extended to support other OS kernels as well. Once syzkaller detects a kernel crash in one of the VMs, it will automatically start the process of reproducing this crash. By default, it will use 4 VMs to reproduce the crash and then minimize the program that caused it. This may stop the fuzzing, since all of the VMs might be busy reproducing detected crashes. The process of reproducing one crash may take from a few minutes up to an hour depending on whether the crash is easily reproducible or non-reproducible at all.Starting Price: Free -
5
Honggfuzz
Google
Honggfuzz is a security-oriented software fuzzer. Supports evolutionary, feedback-driven fuzzing based on code coverage (SW and HW-based). It’s multi-process and multi-threaded, there’s no need to run multiple copies of your fuzzer, as Honggfuzz can unlock the potential of all your available CPU cores with a single running instance. The file corpus is automatically shared and improved between all fuzzed processes. It’s blazingly fast when the persistent fuzzing mode is used. A simple/empty LLVMFuzzerTestOneInput function can be tested with up to 1mo iteration per second on a relatively modern CPU. Has a solid track record of uncovered security bugs, the only (to date) vulnerability in OpenSSL with the critical score mark was discovered by Honggfuzz. As opposed to other fuzzers, it will discover and report hijacked/ignored signals from crashes (intercepted and potentially hidden by a fuzzed program).Starting Price: Free -
6
american fuzzy lop
Google
American fuzzy lop is a security-oriented fuzzer that employs a novel type of compile-time instrumentation and genetic algorithms to automatically discover clean, interesting test cases that trigger new internal states in the targeted binary. This substantially improves the functional coverage for the fuzzed code. The compact synthesized corpora produced by the tool are also useful for seeding other, more labor or resource-intensive testing regimes down the road. Compared to other instrumented fuzzers, afl-fuzz is designed to be practical, it has a modest performance overhead, uses a variety of highly effective fuzzing strategies and effort minimization tricks, requires essentially no configuration, and seamlessly handles complex, real-world use cases, say, common image parsing or file compression libraries. It's an instrumentation-guided genetic fuzzer capable of synthesizing complex file semantics in a wide range of non-trivial targets.Starting Price: Free -
7
Defensics Fuzz Testing
Black Duck
Defensics Fuzz Testing is a comprehensive, versatile, automated black box fuzzer that enables organizations to efficiently and effectively discover and remediate security weaknesses in software. The generational fuzzer takes an intelligent, targeted approach to negative testing. Advanced file and protocol template fuzzers enable users to build their own test cases. The SDK allows expert users to use the Defensics framework to develop their own test cases. Defensics is a black box fuzzer, meaning it doesn’t require source code to run. With Defensics, users can secure their cyber supply chain to ensure the interoperability, robustness, quality, and security of software and devices before introducing them into IT or lab environments. Defensics fits nearly any development workflow, whether in a traditional SDL or CI environment. Its API and data export capabilities also enable it to integrate with surrounding technologies, making it a true plug-and-play fuzzer. -
8
ClusterFuzz
Google
ClusterFuzz is a scalable fuzzing infrastructure that finds security and stability issues in software. Google uses ClusterFuzz to fuzz all Google products and as the fuzzing backend for OSS-Fuzz. ClusterFuzz provides many features to seamlessly integrate fuzzing into a software project’s development process. Fully automatic bug filing, triage, and closing for various issue trackers. Supports multiple coverages guided fuzzing engines for optimal results (with ensemble fuzzing and fuzzing strategies). Statistics for analyzing fuzzer performance, and crash rates. Easy to use web interface for management and viewing crashes. Support for various authentication providers using Firebase. Support for black-box fuzzing, test case minimization, and regression finding through bisection. -
9
Google ClusterFuzz
Google
ClusterFuzz is a scalable fuzzing infrastructure that finds security and stability issues in software. Google uses ClusterFuzz to fuzz all Google products and as the fuzzing backend for OSS-Fuzz. ClusterFuzz provides many features to seamlessly integrate fuzzing into a software project’s development process. Fully automatic bug filing, triage, and closing for various issue trackers. Supports multiple coverages guided fuzzing engines for optimal results (with ensemble fuzzing and fuzzing strategies). Statistics for analyzing fuzzer performance, and crash rates. Easy to use web interface for management and viewing crashes. Support for various authentication providers using Firebase. Support for black-box fuzzing, test case minimization, and regression finding through bisection.Starting Price: Free -
10
Awesome Fuzzing
secfigo
Awesome Fuzzing is a list of fuzzing resources including books, courses, both free and paid, videos, tools, tutorials, and vulnerable applications to practice in order to learn fuzzing and initial phases of exploit development like root cause analysis. Courses/training videos on fuzzing, videos talking about fuzzing techniques, tools, and best practices. Conference talks and tutorials, blogs, tools that help in fuzzing applications, and fuzzers that help in fuzzing applications that use network-based protocols like HTTP, SSH, SMTP, etc. Search and pick the exploits, that have respective apps available for download, and reproduce the exploit by using the fuzzer of your choice. Set of tests for fuzzing engines. Includes different well-known bugs. A corpus, including various file formats for fuzzing multiple targets in the fuzzing literature.Starting Price: Free -
11
API Fuzzer
Fuzzapi
API Fuzzer allows to fuzz-request attributes using common pentesting techniques and lists vulnerabilities. API Fuzzer gem accepts an API request as input and returns vulnerabilities possible in the API. Cross-site scripting vulnerability, SQL injection, blind SQL injection, XML external entity vulnerability, IDOR, API rate limiting, open redirect vulnerabilities, information disclosure flaws, info leakage through headers, and cross-site request forgery vulnerability.Starting Price: Free -
12
Boofuzz
Boofuzz
Boofuzz is a fork of and the successor to the venerable Sulley fuzzing framework. Besides numerous bug fixes, Boofuzz aims for extensibility. Like Sulley, Boofuzzincorporates all the critical elements of a fuzzer like easy and quick data generation, instrumentation and failure detection, target reset after failure, and recording of test data. Much easier install experience and support for arbitrary communications mediums. Built-in support for serial fuzzing, ethernet- and IP-layer, UDP broadcast. Better recording of test data, consistent, thorough, and clear. Test result CSV export and extensible instrumentation/failure detection. Boofuzz installs as a Python library used to build fuzzer scripts. It is strongly recommended to set up Boofuzz in a virtual environment.Starting Price: Free -
13
go-fuzz
dvyukov
Go-fuzz is a coverage-guided fuzzing solution for testing Go packages. Fuzzing is mainly applicable to packages that parse complex inputs (both text and binary) and is especially useful for hardening systems that parse inputs from potentially malicious users (anything accepted over a network). go-fuzz has recently added preliminary support for fuzzing Go Modules. If you encounter a problem with modules, please file an issue with details. Data is a random input generated by go-fuzz, note that in most cases it is invalid. The function must return 1 if the fuzzer should increase the priority of the given input during subsequent fuzzing if the input must not be added to the corpus even if it gives new coverage, and 0 otherwise; other values are reserved for future use. The fuzz function must be in a package that go-fuzz can import. This means the code you want to test can't be in package main. Fuzzing internal packages is supported, however.Starting Price: Free -
14
BlackArch Fuzzer
BlackArch
BlackArch is a Linux pentesting distribution based on ArchLinux. BlackArch Fuzzer provides packages that use the fuzz testing principle. -
15
OWASP WSFuzzer
OWASP
Fuzz testing or fuzzing is a software testing technique, that basically consists in finding implementation bugs using malformed/semi-malformed data injection in an automated fashion. Let’s consider an integer in a program, which stores the result of a user’s choice between 3 questions. When the user picks one, the choice will be 0, 1, or 2, which makes three practical cases. Integers are stored as a static size variable. If the default switch case hasn’t been implemented securely, the program may crash and lead to “classical” security issues. Fuzzing is the art of automatic bug finding, and its role is to find software implementation faults and identify them if possible. A fuzzer is a program that automatically injects semi-random data into a program/stack and detects bugs. The data-generation part is made of generators, and vulnerability identification relies on debugging tools. Generators usually use combinations of static fuzzing vectors. -
16
Peach Fuzzer
Peach Tech
Peach is a SmartFuzzer that is capable of performing both generation and mutation-based fuzzing. Peach requires the creation of Peach Pit files that define the structure, type information, and relationships in the data to be fuzzed. It additionally allows for the configuration of a fuzzing run including selecting a data transport (publisher), logging interface, etc. Peach has been under active development since 2004 and is in its third major version. Fuzzing continues to be the fastest way to find security issues and test for bugs. Effective hardware fuzzing with Peach will introduce students to the fundamentals of device fuzzing. Peach was designed to fuzz any type of data consumer from servers to embedded devices. Researchers, corporations, and governments already use Peach to find vulnerabilities in hardware. This course will focus on using Peach to target embedded devices and collect information from the device in the event of a crash.Starting Price: Free -
17
Sulley
OpenRCE
Sulley is a fuzzing engine and fuzz testing framework consisting of multiple extensible components. Sulley (IMHO) exceeds the capabilities of most previously published fuzzing technologies, commercial and public domain. The goal of the framework is to simplify not only data representation but to simplify data transmission and instrumentation. A pure-Python fully automated and unattended fuzzing framework. Sulley not only has impressive data generation but has taken this a step further and includes many other important aspects a modern fuzzer should provide. Sulley watches the network and methodically maintains records. Sulley instruments and monitors the health of the target, capable of reverting to a known good state using multiple methods. Sulley detects, tracks, and categorizes detected faults. Sulley can fuzz in parallel, significantly increasing test speed. Sulley can automatically determine what unique sequence of test cases triggers faults.Starting Price: Free -
18
Fuzzapi
Fuzzapi
Fuzzapi is a tool used for REST API pentesting and uses API Fuzzer and provides UI solutions for gem.Starting Price: Free -
19
Tayt
Crytic
Tayt is a StarkNet smart contract fuzzer. We recommend using a Python virtual environment. When starting you will see the properties to be checked and the external functions used to generate a sequence of transactions. Eventually, if a property is violated a call sequence will be presented with the order of functions to be called, the respective arguments passed, the caller address, and the events emitted. With Tayt, you can test a contract that deploys other contracts.Starting Price: Free -
20
BFuzz
RootUp
BFuzz is an input-based fuzzer tool that takes HTML as an input, opens up your browser with a new instance, and passes multiple test cases generated by domato which is present in the recurve folder of BFuzz, more over BFuzz is an automation that performs the same task repeatedly and it doesn't mangle any test cases. Running BFuzz will ask for the option of whether to fuzz Chrome or Firefox, however, this will open Firefox from recurve and create the logs on the terminal. BFuzz is a small script that enables you to open the browser and run test cases. The test cases in recurve are generated by the domato generator and contain the main script. It contains additional helper code for DOM fuzzing.Starting Price: Free -
21
Radamsa
Aki Helin
Radamsa is a test case generator for robustness testing or fuzzer. It is typically used to test how well a program can withstand malformed and potentially malicious inputs. It works by reading sample files of valid data and generating interestingly different outputs from them. The main selling points of Radamsa are that it has already found a slew of bugs in programs that actually matter, it is easily scriptable, and, easy to get up and running. Fuzzing is one of the techniques to find unexpected behavior in programs. The idea is simply to subject the program to various kinds of inputs and see what happens. There are two parts to this process: getting the various kinds of inputs and how to see what happens. Radamsa is a solution to the first part, and the second part is typically a short shell script. Testers usually have a more or less vague idea of what should not happen, and they try to find out if this is so.Starting Price: Free -
22
Wapiti
Wapiti
Wapiti is a web application vulnerability scanner. Wapiti allows you to audit the security of your websites or web applications. It performs "black-box" scans (it does not study the source code) of the web application by crawling the webpages of the deployed web app, looking for scripts and forms where it can inject data. Once it gets the list of URLs, forms, and their inputs, Wapiti acts like a fuzzer, injecting payloads to see if a script is vulnerable. Search for potentially dangerous files on the server. Wapiti supports both GET and POST HTTP methods for attacks. It also supports multipart forms and can inject payloads in filenames (upload). Warnings are raised when an anomaly is found (for example 500 errors and timeouts). Wapiti is able to make the difference between permanent and reflected XSS vulnerabilities. Generates vulnerability reports in various formats (HTML, XML, JSON, TXT, CSV).Starting Price: Free -
23
Google OSS-Fuzz
Google
OSS-Fuzz offers continuous fuzzing for open source software. Fuzz testing is a well-known technique for uncovering programming errors in software. Many of these detectable errors, like buffer overflow, can have serious security implications. Google has found thousands of security vulnerabilities and stability bugs by deploying guided in-process fuzzing of Chrome components, and we now want to share that service with the open source community. OSS-Fuzz aims to make common open source software more secure and stable by combining modern fuzzing techniques with scalable, distributed execution. Projects that do not qualify for OSS-Fuzz can run their own instances of ClusterFuzz or ClusterFuzzLite. Currently, OSS-Fuzz supports C/C++, Rust, Go, Python, and Java/JVM code. Other languages supported by LLVM may work too. OSS-Fuzz supports fuzzing x86_64 and i386 builds.Starting Price: Free -
24
Ffuf
Ffuf
Ffuf is a fast web fuzzer written in Go. You can also practice your Ffuf scans against a live host with different lessons and use cases either locally by using the Docker container or against the live-hosted version. Provides virtual host discovery (without DNS records). In order to tell Ffuf about different inputs to test out, a wordlist is needed. You can supply one or more wordlists on the command line, and in case you wish (or are using multiple wordlists) you can choose a custom keyword for them. You can supply Ffuf with multiple wordlists (remember to configure a custom keyword for them though). The first word of the first wordlist is tested against all the words from the second wordlist before moving along to test the second word in the first wordlist against all the words in the second wordlist. In short, all of the different combinations are tried out. There are quite a few different ways to customize the request.Starting Price: Free -
25
Code Intelligence
Code Intelligence
Our platform uses various security techniques, including coverage-guided and feedback-based fuzz testing, to automatically generate millions of test cases that trigger hard-to-find bugs deep within your application. This white-box approach protects against edge cases and speeds up development. Advanced fuzzing engines generate inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Uncover true vulnerabilities only. Get the input and stack trace as proof, so you can reliably reproduce errors every time. AI white-box testing uses data from all previous test runs to continuously learn the inner-workings of your application, triggering security-critical bugs with increasingly high precision. -
26
FuzzDB
FuzzDB
FuzzDB was created to increase the likelihood of finding application security vulnerabilities through dynamic application security testing. It's the first and most comprehensive open dictionary of fault injection patterns, predictable resource locations, and regex for matching server responses. FuzzDB contains comprehensive lists of attack payload primitives for fault injection testing. These patterns, categorized by the attack and where appropriate platform type, are known to cause issues like OS command injection, directory listings, directory traversals, source exposure, file upload bypass, authentication bypass, XSS, HTTP header crlf injections, SQL injection, NoSQL injection, and more. For example, FuzzDB catalogs 56 patterns that can potentially be interpreted as a null byte and contains lists of commonly used methods and name-value pairs that trigger debug modes.Starting Price: Free -
27
afl-unicorn
Battelle
afl-unicorn lets you fuzz any piece of binary that can be emulated by Unicorn Engine. If you can emulate the code you’re interested in using the Unicorn Engine, you can fuzz it with afl-unicorn. Unicorn Mode works by implementing the block-edge instrumentation that AFL’s QEMU mode normally does into Unicorn Engine. Basically, AFL will use block coverage information from any emulated code snippet to drive its input generation. The whole idea revolves around the proper construction of a Unicorn-based test harness. The Unicorn-based test harness loads the target code, sets up the initial state, and loads in data mutated by AFL from disk. The test harness then emulates the target binary code, and if it detects that a crash or error occurred it throws a signal. AFL will do all its normal stuff, but it’s actually fuzzing the emulated target binary code. Only tested on Ubuntu 16.04 LTS, but it should work smoothly with any OS capable of running both AFL and Unicorn.Starting Price: Free -
28
CI Fuzz
Code Intelligence
CI Fuzz ensures robust and secure code with test coverage up to 100%. Use CI Fuzz from the command line or in the IDE of choice to generate thousands of test cases automatically. CI Fuzz analyzes code as it runs, just like a unit test, but with AI support to efficiently cover all paths through the code. Uncover real bugs in real-time and say goodbye to theoretical issues and false positives. Find real issues with all the information needed to quickly reproduce and fix them. Test your code with maximum code coverage and automatically detect typical security-relevant bugs like injections and remote code executions automatically in one go. Get fully covered to deliver the highest quality software. Conduct real-time code analysis with CI Fuzz. Take unit tests to the next level. It employs AI for comprehensive code path coverage and the automatic generation of thousands of test cases. Maximize pipeline performance that doesn't compromise software integrity.Starting Price: €30 per month -
29
Fuzzing Project
Fuzzing Project
Fuzzing is a powerful strategy to find bugs in software. The idea is quite simple, which is to generate a large number of randomly malformed inputs for the software to parse and see what happens. If the program crashes then something is likely wrong. While fuzzing is a well-known strategy, it is surprisingly easy to find bugs, often with security implications, in widely used software. Memory access errors are the errors most likely to be exposed when fuzzing software that is written in C/C++. While they differ in the details, the core problem is often the same, the software reads or writes to the wrong memory locations. A modern Linux or BSD system ships a large number of basic tools that do some kind of file displaying and parsing. In their current state, most of these tools are not suitable for untrusted inputs. On the other hand, we have powerful tools these days that allow us to find and analyze these bugs.Starting Price: Free -
30
Mayhem
ForAllSecure
Advanced fuzzing solution that combines guided fuzzing with symbolic execution, a patented technology from CMU. Mayhem is an advanced fuzz testing solution that dramatically reduces manual testing efforts with autonomous defect detection and validation. Deliver safe, secure, reliable software with less time, cost, and effort. Mayhem’s unique advantage is in its ability to acquire intelligence of its targets over time. As Mayhem’s knowledge grows, it deepens its analysis and maximizes its code coverage. All reported vulnerabilities are exploitable, confirmed risks. Mayhem guides remediation efforts with in-depth system level information, such as backtraces, memory logs, and register state, expediting issue diagnosis and fixes. Mayhem utilizes target feedback to custom generate test cases on the fly -- meaning no manual test case generation required. Mayhem offers access to all of its test cases to make regression testing effortless and continuous. -
31
Wfuzz
Wfuzz
Wfuzz provides a framework to automate web application security assessments and could help you secure your web applications by finding and exploiting web application vulnerabilities. You can also run Wfuzz from the official Docker image. Wfuzz is based on the simple concept that it replaces any reference to the fuzz keyword with the value of a given payload. A payload in Wfuzz is a source of data. This simple concept allows any input to be injected in any field of an HTTP request, allowing it to perform complex web security attacks in different web application components such as parameters, authentication, forms, directories/files, headers, etc. Wfuzz’s web application vulnerability scanner is supported by plugins. Wfuzz is a completely modular framework and makes it easy for even the newest Python developers to contribute. Building plugins is simple and takes little more than a few minutes.Starting Price: Free -
32
Echidna
Crytic
Echidna is a Haskell program designed for fuzzing/property-based testing of Ethereum smart contracts. It uses sophisticated grammar-based fuzzing campaigns based on a contract ABI to falsify user-defined predicates or Solidity assertions. We designed Echidna with modularity in mind, so it can be easily extended to include new mutations or test specific contracts in specific cases. Generates inputs tailored to your actual code. Optional corpus collection, mutation and coverage guidance to find deeper bugs. Powered by Slither to extract useful information before the fuzzing campaign. Source code integration to identify which lines are covered after the fuzzing campaign. Interactive terminal UI, text-only or JSON output. Automatic test case minimization for quick triage. Seamless integration into the development workflow. Maximum gas usage reporting of the fuzzing campaign. Support for a complex contract initialization with Etheno and Truffle.Starting Price: Free -
33
Campfire
Campfire
Campfire is a new startup focused on holographic collaboration for design and engineering workflows. Led by pioneers of today’s most well-known augmented reality platforms, Campfire provides a new generation of devices and applications that enable globally distributed teams to work with 3D models as if sharing a central holographic projector. Campfire’s solution dramatically advances the state-of-the-art for visual performance, ease of use, and workflow integration over current AR/VR offerings and is built on a foundation of more than 60 patents. Industry leaders including frog design are using Campfire with commercial availability targeted for this Fall. No WiFi or BlueTooth to setup, just snap-on and power-on to launch the Campfire app. Manipulate and explore 3D models with a range of tools you can learn in minutes. Text entry is a breeze and the touchscreen enables more precise controls than hand or arm movements. -
34
Mayhem Code Security
Mayhem
Thousands of autonomously generated tests run every minute to pinpoint vulnerabilities and guide rapid remediation. Mayhem takes the guesswork out of untested code by autonomously generating test suites that produce actionable results. No need to recompile the code, since Mayhem works with dockerized images. Self-learning ML continually runs thousands of tests per second probing for crashes and defects, so developers can focus on features. Continuous testing runs in the background to surface new defects and increase code coverage. Mayhem delivers a copy/paste reproduction and backtrace for every defect, then prioritizes them based on your risk. See all the results, duplicated and prioritized by what you need to fix now. Mayhem fits into your existing build pipeline and development tools, putting actionable results at your developers' fingertips. No matter what language or tools your team uses. -
35
Solidity Fuzzing Boilerplate
patrickd
Solidity Fuzzing Boilerplate is a template repository intended to ease fuzzing components of Solidity projects, especially libraries. Write tests once and run them with both Echidna and Foundry's fuzzing. Fuzz components that use incompatible Solidity versions by deploying those into a Ganache instance via Etheno. Use HEVM's FFI cheat code to generate complex fuzzing inputs or to compare outputs with non-EVM executables while doing differential fuzzing. Publish your fuzzing experiments without worrying about licensing by extending the shell script to download specific files. Turn off FFI if you don't intend to make use of shell commands from your Solidity contracts. Note that FFI is slow and should only be used as a workaround. It can be useful for testing against things that are difficult to implement within Solidity and already exist in other languages. Before executing tests of a project that has FFI enabled, be sure to check what commands are actually being executed.Starting Price: Free -
36
ToothFairyAI
ToothFairyAI
ToothFairyAI is a Software-as-a-Service (SaaS) that provides access to powerful Natural Language Processing (NLP) and Natural Language Generation (NLG) APIs. ToothFairyAI enables users to quickly and easily integrate a wide range of transformer models into their solutions, allowing for easy configuration and customization through the ToothFairyAI app. ToothFairyAI is designed to make it easier to create natural language applications with minimal effort. It includes an extensive library of pre-trained models that can be used as a starting point for customized solutions. Additionally, ToothFairyAI allows users to easily configure and customize these models through an intuitive user interface. This makes it possible to quickly create powerful NLP & NLG applications. -
37
beSTORM
Beyond Security (Fortra)
Discover code weaknesses and certify the security strength of any product without access to source code. Test any protocol or hardware with beSTORM, even those used in IoT, process control, CANbus compatible automotive and aerospace. Realtime fuzzing, doesn’t need access to the source code, no cases to download. One platform, one GUI to learn, with over 250+ prebuilt protocol testing modules and the ability to add custom and proprietary ones. Find the security weaknesses before deployment that are most often discovered by external actors after release. Certify vendor components and your own applications in your own testing center. Self-learning software module and propriety software testing. Customization and scalability for any business sizes up or down. Automatically generate and deliver near-infinite attack vectors and document any product failures. Record every pass/fail and hand engineering the exact command that produced each fail.Starting Price: $50,000.00/one-time -
38
Fuzzbuzz
Fuzzbuzz
The Fuzzbuzz workflow is very similar to other CI/CD testing workflows. However, unlike other testing workflows, fuzz testing requires multiple jobs to run simultaneously, which results in a few extra steps. Fuzzbuzz is a fuzz testing platform. We make it trivial for developers to add fuzz tests to their code and run them in CI/CD, helping them catch critical bugs and vulnerabilities before they hit production. Fuzzbuzz completely integrates into your environment, following you from the terminal to CI/CD. Write a fuzz test in your environment and use your own IDE, terminal, or build tools. Push to CI/CD and Fuzzbuzz will automatically start running your fuzz tests against your latest code changes. Get notified when bugs are found through Slack, GitHub, or email. Catch regressions as new changes are automatically tested and compared to previous runs. Code is built and instrumented by Fuzzbuzz as soon as a change is detected.Starting Price: Free -
39
ClarinoxBlue
Clarinox Technologies
ClarinoxBlue is a comprehensive, flexible, and portable Bluetooth protocol stack for embedded devices. > Designed for both Bluetooth Classic (BR/EDR) and Bluetooth Low Energy > ClarinoxBlue implements all Bluetooth protocols and profile layers > Support for multiple simultaneous profiles and roles > Single and multi-threaded applications > Blocking and non-blocking API calls > Dual-mode or single-mode stack options -
40
APIFuzzer
PyPI
APIFuzzer reads your API description and step-by-step fuzzes the fields to validate if your application can cope with the fuzzed parameters, and it does not require coding. Parse API definition from a local file or remote URL. JSON and YAML file format support. All HTTP methods are supported. Fuzzing of the request body, query string, path parameter, and request header is supported. Relies on random mutations and supports CI integration. Generate JUnit XML test report format. Send a request to an alternative URL. Support HTTP basic auth from the configuration. Save the report of the failed test in JSON format into the pre-configured folder.Starting Price: Free -
41
Bither
Bither
With Bither wallet running on cold or hot mode, you can use Bitcoin as simple as cash or credit card. Bither Cold Wallet features are cold wallet running on offline mode (Backup phone), private keys are protected by digital password, realtime monitoring the network status (Wifi, 3G, BlueTooth), security check for private keys, sign the hot wallet's unsigned transactions, automatically backup and recovery. Bither Hot Wallet features are hot wallet running on online mode (Daily phone), you can easily monitor your Bitcoin savings with Watch Only mode, you can prepare unsigned transaction for watch only address, hot wallet also supports private keys, you can save some pocket money in this kind of addresses, decentralized and P2P (peer to peer) Bitcoin wallet, no registration or login needed, realtime price of major bitcoin exchanges and system notification for new transactions. -
42
LightForce
LightForce
From brackets to IDB trays to custom buccal tubes, our orthodontic products are designed to fit your patient’s individual tooth anatomy and bite. LightPlan is a web-based platform for digital orthodontic treatment planning that enables you to create, adjust, and approve treatment plans without having to install the software. Our digital workflow enables you to seamlessly integrate LightForce into your practice similar to your aligner workflow. Empower the experts to create a bite and smile as unique as the patient. A world where all patients receive personalized care. Our 3D printed ceramic polycrystalline alumina brackets are fully customized to your patient's individual tooth anatomy and bite. They are currently available in 0.018", 0.020", and 0.022" slot sizes, as well as bidimensional configurations. The brackets can also be customized with optional distal hooks on upper lateral incisors, lower cuspids, and lower bicuspids. -
43
AnyPicker
AnyPicker
AnyPicker is a powerful yet easy-to-use web scraper for the Chrome browser. Scrape the entire website using only your mouse, no coding skills are required, and no tedious configuration is needed; it’s that simple and easy. AnyPicker can be operated with just mouse clicks. AnyPicker automatically detects and avoids commonly used crawler-blocking mechanisms for high usability. AnyPicker can crawl and scrape any website that can be accessed via Google Chrome. AnyPicker is equipped with a proprietary artificial intelligence data pattern detection engine; It can detect and outline data to be scraped, making your job much easier. AnyPicker makes it easy to scrape data that can only be accessible after account login. Simply launch AnyPicker after login and the rest is taken care of. Get structured data in XLS, CSV, and format. AnyPicker is free to use for light scraping tasks. If you need to scrape more data please choose one of the paid plans that suits your need.Starting Price: $39 per month -
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BlueMail
Blix
BlueMail by Blix a free, beautifully designed, universal email app, capable of managing an unlimited number of mail accounts from various providers, allowing for smart push notifications and group emailing while enabling personalization across multiple email accounts. The BlueMail app connects directly to your mail server and is the perfect replacement for your stock email app. With a wide range of visual and technical customizations, swipe actions and menus, action bars and buttons, colors and themes – BlueMail delivers powerful capabilities for your Team. Whether you go Pink or Blue. Go BlueMail. Available on Windows, Mac, Linux, Android, iOS, and Amazon. With the people-centric mailbox, you can focus your attention on emails from only people at the flip of a switch by using People Mode. BlueMail’s navigation picker helps you access any account: IMAP, Exchange or POP3 in a breeze. Each account can be identified by a service provider avatar.Starting Price: $5.99 per user per month -
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BlueDiamond
LenelS2
With multi-technology readers, a feature-rich mobile app and the ability to support mobile and physical credentials, organizations can upgrade to the BlueDiamond™ experience at their own pace. The BlueDiamond mobile user experience enables employees to turn any smartphone into a device for effortless, touchless access. The BlueDiamond solution leverages Carrier’s 20 years of experience developing mobile credential technology. With over 4,000,000 Bluetooth® locking devices deployed across multiple industries – including Energy, Financial, Hospitality and Real Estate. LenelS2 is proud to be a part of the Carrier Healthy Buildings Program, which includes the BlueDiamond touchless access offering. Designed to work seamlessly with existing infrastructure and leverage open credentialing standards, BlueDiamond multi-technology access control readers are platform agnostic and support the standard output protocols.Starting Price: Free -
46
Sigfox
Sigfox
Network coverage and signal quality are key to scalability in IoT deployments. In some locations, additional coverage may be required to address the specifics of a use case. The Access Station Micro is a versatile and cost-efficient gateway that can easily enable coverage in hard to cover areas eg: deep indoor or in remote locations, for any type of IoT application. Sigfox is rolling out the first global 0G network to listen to billions of objects broadcasting data, without the need to establish and maintain network connections. This unique approach in the world of wireless connectivity, where there is no signaling overhead, a compact and optimized protocol, and where object share not attached to the network. Sigfox can complement NFC, Bluetooth, GPS 2G/3G/4G/5G, Wifi as well as LoRa, NB-IoT or LTE-M. By combining other connectivity solutions with Sigfox within the same IoT device, business cases and user experience can be drastically improved. -
47
QCS9000
JK Technologies
The General NCMR search form is used to locate NCMR's meeting user-entered selection criteria. This same search form is used by all of the icons concerning NCMR's, so we will take the time here to look at the search screen. To see this search screen, click on the General NCMR Search icon from the main QCS9000 navigator. Supplier NCMR: These are mostly likely generated during incoming inspection and concern defects in material purchased from an out side vendor. In-Process NCMR: The in-process NCMR is caused by defects found during either the manufacturing process or when the product is transferred between work centers (found by quality control type inspections). Customer Return NCMR: This is when a customer returns a shipped product because of defects or nonconformities found. Other terminologies can be RMA's (for returned material authorizations) or CRM (customer return material).Starting Price: $995 per month -
48
WindowsLDP
The Ohio State University
WindowsLDP (Load Distribution Program) is a quasi-static gear design and analysis tool for external and internal spur and helical gear pairs. This software program has been adapted and used extensively by most of the consortium members as the main gear design and analysis tool. Variations of this model to perform surface wear and duty cycle analyses are also available. WindowsLDP employs computationally efficient and accurate semi-analytical formulations to compute the load distribution between multiple mating teeth of gears. With the predicted load distribution, it computes the loaded transmission error, root and contact stress distributions, mesh stiffness functions, tooth forces as well as other design relative parameters such as lubricant film thickness and surface temperature. User has the choice of using SI or English units in the analyses. WindowsLDP’s capabilities also include multi-torque analyses and manufacturing robustness analyses. -
49
Bugsee
Bugsee
See video, network and logs that led to bugs and crashes in live apps. No need to reproduce intermittent bugs. With Bugsee, all the crucial data is always there. All important traces from your app. Now you know what exactly led to unexpected behavior. See the video of all user actions, communication with the backend and system state that led to the problem. Get statistics on similar crashes. See trends broken down by device type, OS version and time. Get the exact filename, method and a line number of the crash. See states of all other threads running at the time of the crash. See all HTTP and HTTPS requests and responses – headers and body – from and to your app. Replay all app’s console logs synchronized to the video and network traffic.Starting Price: $99 per month -
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XDR’s Dental Imaging Software is clinically engineered for ease and diagnostic power. Exposure Meter when capturing and diagnosing. Single click Perio filter. Single click Sharp filter. Single click Endo filter. Cumulative Measurements. Image viewing and analysis during charting (Floater). Correction of projective distortion (Patented Unwarp). Bi-Directional Scaling (Rescale). Virtual acetate overlay for implant planning. Preformatted text insertion. Tooth number selection. Misfiled exams finder. See the subtlest of lesions, and the narrowest of files. Rated in the top tier by peer-reviewed research. Exposure feedback for diagnostic power and ALARA. Powered by mathematics and radiographic physics.
