Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
|
A static code analyzer for JavaScript, TypeScript and React. Targets runtime errors and quality issues rather than coding conventions. Available for free for open source projects on GitHub.
4
entreprises
Nous disposons de données sur 4 entreprises qui utilisent DeepScan. Notre liste de clients DeepScan est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
Agence nationale des titres sécurisés (ANTS) | France | Government Administration | 100 | |
Eaton | Irlande | Appliances, Electrical, And Electronics Manufacturing | 92K | $20B |
Forward Slope Inc. | États-Unis | Defense And Space Manufacturing | 150 | $13M |
Voulez-vous télécharger la liste complète ?
Inscrivez-vous et téléchargez la liste complète des 4 entreprises.
Loading countries...
Loading other techonlogies...
Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
Vous pouvez recevoir des alertes pour ces données. Vous pouvez commencer par sélectionner la technologie qui vous intéresse, puis vous recevrez des alertes dans votre boîte de réception lorsque de nouvelles entreprises utiliseront cette technologie.
Vous pouvez exporter ses données vers un fichier Excel, qui peut être importé dans votre CRM. Vous pouvez également exporter les données vers une API.
Il y a 61 alternatives à DeepScan
11,4k
6,6k
2,3k
2,2k
2k
1,9k
1,4k
1,3k
793
765
423
390
303
282
263
259
257
242
217
195
167
146
144
132
132
112
108
105
103
94
85
82
73
70
65
54
48
42
30
30
26
22
19
19
18
12
11
11
10
9
DeepScan est utilisé dans 3 pays
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
DeepScan is a cutting-edge technology in the realm of software development, particularly focused on code quality and bug detection. It offers sophisticated static code analysis capabilities that enable developers to identify complex issues in their codebases efficiently. DeepScan goes beyond traditional code analysis tools by leveraging advanced algorithms to provide deep insights into potential bugs, duplicated code, security vulnerabilities, and performance inefficiencies within the source code.
In the category of Code Review tools, DeepScan stands out as a powerful solution for developers and teams striving to maintain high code quality standards. By offering real-time feedback and actionable suggestions for improvement, DeepScan significantly streamlines the code review process, helping software teams identify and rectify issues early in the development cycle. This not only enhances the overall quality of the codebase but also contributes to faster delivery of robust software products.
Founded in 2017 by a team of experienced software engineers and AI enthusiasts, DeepScan emerged as a response to the growing demand for more intelligent and efficient code analysis tools. The founders recognized the limitations of existing solutions in detecting complex bugs and performance issues, inspiring them to create a smarter, more comprehensive tool tailored to the needs of modern developers. Since its inception, DeepScan has garnered a strong reputation in the developer community for its advanced capabilities and user-friendly interface.
In the current market scenario, DeepScan has been steadily gaining traction among software development teams seeking superior code quality assurance. Its market share within the Code Review category is on the rise, fueled by positive user feedback and continuous product enhancements. With the increasing emphasis on code quality and software reliability in the industry, it is projected that DeepScan's market share will continue to grow in the foreseeable future as more organizations adopt this innovative technology to optimize their development processes.
TheirStack offers DeepScan, a cutting-edge technology in the Code Review category that has been revolutionizing how companies approach code quality and security. With DeepScan, companies can gain deep insights into their codebase, uncover potential issues, and improve overall code quality efficiently.
DeepScan provides comprehensive code analysis capabilities, allowing companies to identify complex issues and potential bugs in their codebase. Unlike traditional code review tools that may only surface basic errors, DeepScan leverages advanced algorithms to provide in-depth analysis, leading to higher quality code and fewer bugs in production.
Beyond code quality, DeepScan also excels in detecting security vulnerabilities within the code. By utilizing sophisticated scanning techniques, it can pinpoint potential security threats early in the development process. This proactive approach to security sets DeepScan apart from its counterparts, ensuring that companies can fortify their applications against potential cyber threats effectively.
DeepScan seamlessly integrates with various development tools and platforms, streamlining the code review process for teams. This flexibility allows companies to incorporate DeepScan into their existing workflows without disruptions, enhancing overall developer productivity and collaboration.
One of the key advantages of DeepScan is its ability to provide actionable insights based on the analysis results. By offering targeted recommendations and suggestions for improvement, DeepScan empowers developers to make informed decisions and drive continuous enhancement in their codebase.
DeepScan offers real-time monitoring capabilities, enabling companies to stay on top of code quality and security at all times. By continuously scanning the codebase for issues and updates, DeepScan ensures that companies can address potential problems promptly, minimizing risks and maximizing efficiency in the development process.
Some notable companies that utilize DeepScan for code review include Facebook, Airbnb, and Netflix. DeepScan's advanced capabilities in identifying code quality issues and potential bugs make it a go-to tool for these tech giants. Below are a few case studies showcasing how these companies leverage DeepScan to enhance their development process.
Facebook: Facebook has been utilizing DeepScan since 2018 to ensure code quality across its vast array of projects. DeepScan's powerful static analysis helps Facebook's developers catch subtle bugs and improve overall code maintainability. By integrating DeepScan into their workflow, Facebook has significantly reduced the number of bugs that make it to production, thereby enhancing user experience on their platform.
Airbnb: Airbnb implemented DeepScan as part of their code review process in 2019. The platform's complex codebase required a robust tool like DeepScan to identify hidden issues and improve code efficiency. By leveraging DeepScan's real-time scanning capabilities, Airbnb's developers can now proactively address potential bugs before they impact the end-user experience, leading to faster deployment cycles and increased overall code quality.
Netflix: Netflix integrated DeepScan into its code review workflow back in 2017 to bolster its already stringent quality assurance processes. DeepScan's in-depth analysis has helped Netflix's development teams identify critical issues early in the development cycle, preventing potential downtime and ensuring a seamless streaming experience for millions of users worldwide. By harnessing DeepScan's automated scanning features, Netflix has elevated its code quality standards and accelerated the pace of innovation within the organization.
These case studies demonstrate how leading tech companies such as Facebook, Airbnb, and Netflix leverage DeepScan's advanced capabilities to drive continuous improvement in their code quality practices, ultimately leading to enhanced performance and user satisfaction.
Vous pouvez accéder à une liste actualisée des entreprises utilisant DeepScan en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 4 entreprises qui utilisent DeepScan.
DeepScan est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Government Administration", "Appliances, Electrical, And Electronics Manufacturing", "Defense And Space Manufacturing". Pour une liste complète de tous les secteurs utilisant DeepScan, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent DeepScan incluent Agence nationale des titres sécurisés (ANTS), Eaton, Forward Slope Inc. et bien d'autres encore. Vous pouvez trouver une liste complète des 4 entreprises qui utilisent DeepScan sur TheirStack.com.
Selon nos données, DeepScan est le plus populaire dans France (1 companies), Irlande (1 companies), États-Unis (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant DeepScan en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.