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It brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed, reproduced and shared with others. Works with all common technologies and integrates with other tools.
1,609
aziende
Abbiamo dati su 1,609 aziende che usano Neptune. La nostra lista di clienti Neptune è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
![]() JupiterOne | Stati Uniti | It Services And It Consulting | 180 | $4.9M |
Central Garden & Pet - Dog/Cat Segment | Stati Uniti | Manufacturing | 1.8K | $3.4B |
Fannie Mae | Stati Uniti | Financial Services | 13K | $29B |
Zscaler | Stati Uniti | Computer And Network Security | 8.1K | $1.1B |
Neptune Technology Group | Stati Uniti | Appliances, Electrical, And Electronics Manufacturing | 681 | $54M |
Medline Industries Inc | Stati Uniti | Medical Equipment Manufacturing | 28K | $20B |
The Hundred of Hoo Academy (Secondary) | Regno Unito | Education Administration Programs | 53 | |
Le Boat | Regno Unito | Travel Arrangements | 130 | $3.4M |
Passei Direto | Brasile | Education | 210 | $28M |
Fresh Start Foods | Canada | Retail | 130 | $19M |
Ledcor | Canada | Construction | 6.4K | |
Central Garden & Pet | Stati Uniti | Manufacturing | 5K | $3.4B |
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Statistiche sull'Uso delle Tecnologie e Quota di Mercato
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Neptune è utilizzata in 40 paesi
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Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
Neptune is a prominent technology in the realm of Machine Learning Tools, offering a comprehensive platform for managing and monitoring machine learning experiments. It provides a centralized hub where data scientists and machine learning engineers can track, visualize, and collaborate on their experiments effectively. With features like experiment versioning, hyperparameter optimization, and real-time metric tracking, Neptune streamlines the machine learning workflow, enabling teams to iterate faster and improve model performance.
Founded in 2019 by a team of machine learning enthusiasts, Neptune aimed to address the challenges faced by data science teams in tracking and reproducing machine learning experiments efficiently. Their motivation stemmed from a desire to enhance collaboration and productivity within the machine learning community by providing a robust platform that caters to the unique needs of data scientists and researchers.
Currently, Neptune holds a competitive market share within the Machine Learning Tools category, with a growing user base and increasing adoption among data-centric organizations. As machine learning continues to play a crucial role in various industries, the demand for sophisticated experiment tracking and management tools like Neptune is expected to rise. Forecasts suggest that Neptune is well-positioned to expand its market share further in the future, driven by its continuous innovation and commitment to empowering data science teams worldwide.
Neptune offers cutting-edge solutions for companies looking to harness the power of Machine Learning Tools. Its innovative features and user-friendly interface make it a top choice for businesses seeking advanced data analytics capabilities.
Neptune provides a collaborative environment where data scientists, analysts, and stakeholders can easily work together on projects in real-time. Unlike other similar technologies that lack seamless integration and user-friendly interfaces, Neptune streamlines communication and enables efficient teamwork.
With Neptune, companies can conduct experiments and track results with ease, thanks to its comprehensive logging and version control system. This feature sets Neptune apart from its competitors by offering a centralized platform that simplifies the experiment tracking process and enhances reproducibility.
Neptune is designed to handle large-scale data processing tasks efficiently, making it ideal for companies with diverse and complex Machine Learning projects. Its scalable architecture ensures optimal performance, setting it apart from other tools that may struggle with processing massive datasets effectively.
Neptune's interactive visualization capabilities allow users to gain valuable insights from their data through dynamic charts and graphs. This feature surpasses traditional static reporting methods, providing a more engaging and intuitive way to interpret and present data analysis results.
Neptune is a popular tool utilized by various companies in the machine learning field to manage and streamline their workflow. Some prominent companies that leverage Neptune include Spotify, Microsoft, and Uber.
Spotify: Spotify adopted Neptune to enhance their machine learning operations by centralizing their experimentation process. They started using Neptune in 2019 to track and monitor various machine learning models in real-time, allowing their data scientists to collaborate more effectively.
Microsoft: Microsoft integrated Neptune into their data science workflow to improve model performance and facilitate model versioning. They began utilizing Neptune in 2020 to streamline the experimentation process and track the progress of different machine learning projects.
Uber: Uber implemented Neptune as a key component in their machine learning infrastructure to monitor and optimize their algorithms. Since 2018, Uber has utilized Neptune to manage their model training process efficiently and visualize key metrics for better decision-making in their data-driven initiatives.
These case studies highlight how companies like Spotify, Microsoft, and Uber have successfully integrated Neptune into their machine learning pipelines, showcasing the tool's effectiveness in enhancing productivity and collaboration within their data science teams.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Neptune visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 1,609 aziende che utilizzano Neptune.
Neptune è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "It Services And It Consulting", "Manufacturing", "Financial Services", "Computer And Network Security", "Appliances, Electrical, And Electronics Manufacturing", "Medical Equipment Manufacturing", "Education Administration Programs", "Travel Arrangements", "Education", "Retail". Per un elenco completo di tutti i settori che utilizzano Neptune, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Neptune includono JupiterOne, Central Garden & Pet - Dog/Cat Segment, Fannie Mae, Zscaler, Neptune Technology Group, Medline Industries Inc, The Hundred of Hoo Academy (Secondary), Le Boat, Passei Direto, Fresh Start Foods e molte altre. Puoi trovare un elenco completo di 1,609 aziende che utilizzano Neptune su TheirStack.com.
Secondo i nostri dati, Neptune è più popolare in Stati Uniti (658 companies), Regno Unito (122 companies), Francia (70 companies), Canada (42 companies), India (30 companies), Germania (24 companies), Spagna (20 companies), Paesi Bassi (18 companies), Svizzera (15 companies), Australia (11 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Neptune cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.