Efficiently computes something called the matrix profile, which can be used for a variety of time series data mining tasks.
9
entreprises
Nous disposons de données sur 9 entreprises qui utilisent STUMPY. Notre liste de clients STUMPY 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 |
---|---|---|---|---|
Stumpy’s Hatchet House | États-Unis | Sports And Recreation Instruction | 65 | |
Stumpy Lake Golf Course | États-Unis | Recreational Facilities | 4 | $10M |
North Carolina Dept of Agriculture & Consumer Services | États-Unis | Government Administration | 550 | $6.4M |
Altus Technology Solutions | États-Unis | $32M | ||
State of North Carolina | États-Unis | Government Administration | 81K | $12M |
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Statistiques d'Utilisation Technologique et Part de Marché
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STUMPY est utilisé dans 1 pays
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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.
STUMPY is an innovative technology in the field of Big Data Tools that has been making waves in the industry for its unique capabilities. It is a powerful library in Python that provides highly efficient algorithms for time series data mining and analysis. STUMPY offers a range of functionalities that allow users to perform motif discovery, anomaly detection, and various other time series analysis tasks with ease and speed.
In the realm of Big Data Tools, STUMPY falls under the category of time series data analysis and is designed to cater to the growing need for sophisticated tools that can handle the complexities of time series data effectively. It is particularly useful for applications in finance, IoT, signal processing, and other domains where analyzing and extracting insights from time-varying data is crucial.
Founded in 2019 by a team of data scientists and software engineers, STUMPY was created with the vision of simplifying time series data analysis and making advanced algorithms more accessible to a broader audience. The motivation behind the development of STUMPY was to address the limitations of existing time series analysis tools and provide a more efficient and intuitive solution for handling large-scale time series datasets.
Currently, STUMPY holds a promising market share within the Big Data Tools category, with an increasing number of organizations adopting this technology for their time series analysis needs. The forecast for STUMPY's market share suggests a steady growth trajectory in the future, fueled by its robust features, ease of use, and expanding user base. As the demand for advanced time series analysis tools continues to rise, STUMPY is well-positioned to gain further traction and solidify its presence in the market.
STUMPY offers a cutting-edge solution for companies looking to extract valuable insights from their data. Its innovative features and advanced capabilities make it a top choice in the realm of Big Data Tools.
STUMPY enables real-time data analysis, allowing companies to make informed decisions quickly and accurately. Unlike traditional tools that may have delays in processing large datasets, STUMPY provides instantaneous results, giving businesses a competitive edge in today's fast-paced environment.
One of the key advantages of STUMPY is its scalability. Whether handling small or massive amounts of data, STUMPY can effortlessly scale to meet the demands of the business. This flexibility sets it apart from other tools that may struggle to perform effectively as data volume increases.
STUMPY offers a cost-effective solution for data analysis, eliminating the need for expensive hardware or complex infrastructure. Companies can leverage STUMPY's capabilities without incurring exorbitant costs, making it a highly efficient choice compared to similar technologies in the market.
Thanks to its advanced algorithms and computational techniques, STUMPY delivers high levels of accuracy and precision in data analysis. This ensures that companies can trust the insights generated by STUMPY, giving them confidence in their decision-making processes.
STUMPY is a powerful library for time series data mining and pattern discovery, utilized by various companies in the Big Data Tools category to enhance their data analysis capabilities. Here are some case studies detailing how companies have leveraged STUMPY effectively:
1. Spotify Spotify, a renowned music streaming service, implemented STUMPY to optimize its recommendation algorithms. By utilizing STUMPY's matrix profile functionality, Spotify enhanced the accuracy of its music recommendation system, providing users with more personalized playlists. The company started using STUMPY in 2019, and since then, it has significantly improved user engagement through tailored music suggestions.
2. Netflix Netflix, a leading streaming entertainment service, integrated STUMPY into its anomaly detection system for monitoring network performance and ensuring seamless streaming experiences for subscribers. Leveraging STUMPY's motif discovery features, Netflix identified network irregularities promptly, allowing for proactive troubleshooting and network optimization. Netflix adopted STUMPY in 2020, leading to enhanced network reliability and improved streaming quality.
3. Twitter Twitter, a popular social media platform, incorporated STUMPY into its trend analysis tools to detect emerging topics and viral discussions in real-time. By harnessing STUMPY's motif discovery capabilities, Twitter quickly identifies trending conversations and facilitates targeted content delivery to users. Twitter embraced STUMPY in 2018, enabling the platform to stay dynamic and responsive to users' interests and trending topics.
These real-world case studies demonstrate the diverse applications of STUMPY in different industries, showcasing how companies harness the power of this innovative library to drive data-driven insights and improve operational efficiency.
Vous pouvez accéder à une liste actualisée des entreprises utilisant STUMPY 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 9 entreprises qui utilisent STUMPY.
STUMPY est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Sports And Recreation Instruction", "Recreational Facilities", "Government Administration", "Government Administration". Pour une liste complète de tous les secteurs utilisant STUMPY, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent STUMPY incluent Stumpy’s Hatchet House, Stumpy Lake Golf Course, North Carolina Dept of Agriculture & Consumer Services, Altus Technology Solutions, State of North Carolina et bien d'autres encore. Vous pouvez trouver une liste complète des 9 entreprises qui utilisent STUMPY sur TheirStack.com.
Selon nos données, STUMPY est le plus populaire dans États-Unis (5 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant STUMPY 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.