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Retrieves knowledge of the internals of the Android Framework gives it a unique ability to narrow down the cause of each leak, helping developers dramatically reduce OutOfMemoryError crashes.
16
Unternehmen
Wir haben Daten zu 16 Unternehmen, die LeakCanary verwenden. Unsere LeakCanary Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
---|---|---|---|---|
Afterpay | Australien | Retail | 980 | $696M |
Square | Vereinigte Staaten | Software Development | 7.3K | $18B |
![]() Block | Vereinigte Staaten | Financial Services | 16K | $11M |
![]() Fundrise | Vereinigte Staaten | Real Estate | 314 | $50M |
Compass.UOL | Brasilien | Technology, Information And Internet | 4K | $2.9M |
Akuaro Work SLU | Spanien | Professional Services | 31 | |
Snappy Shopper | Vereinigtes Königreich | Retail | 92 | $2.4M |
Cash App | Vereinigte Staaten | Technology, Information And Internet | 3.9K | $6B |
GeekHunter | Brasilien | Oil And Gas | 62 | |
Mollica IT | Brasilien | Staffing And Recruiting | 61 | |
NetWeb Software | Indien | It Services And It Consulting | 201 | $28M |
Hubbler | Indien | It Services And It Consulting | 32 |
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Melden Sie sich an und laden Sie die vollständige Liste der 16 Unternehmen herunter.
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Nutzungsstatistiken für Technologie und Marktanteil
Sie können diese Daten an Ihre Bedürfnisse anpassen, indem Sie nach Geografie, Branche, Unternehmensgröße, Umsatz, Technologienutzung, Jobpositionen und mehr filtern. Sie können die Daten im Excel- oder CSV-Format herunterladen.
Sie können Alarme für diese Daten erhalten. Sie können beginnen, indem Sie die Technologie auswählen, die Sie interessiert, und dann erhalten Sie Alarme in Ihrem Posteingang, wenn es neue Unternehmen gibt, die diese Technologie verwenden.
Sie können seine Daten in eine Excel-Datei exportieren, die in Ihr CRM importiert werden kann. Sie können die Daten auch an eine API exportieren.
LeakCanary wird in 6 Ländern verwendet
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Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
Wir aktualisieren unsere Daten täglich, um sicherzustellen, dass Sie auf die aktuellsten verfügbaren Informationen zugreifen. Dieser häufige Aktualisierungsprozess garantiert, dass unsere Einsichten und Erkenntnisse die neuesten Entwicklungen und Trends der Branche widerspiegeln.
LeakCanary is a powerful open-source memory leak detection library primarily designed for Android applications. It serves as a valuable tool for developers to identify memory leaks in their code, especially those that occur in complex Android software where manual analysis may be challenging. The technology behind LeakCanary enables developers to efficiently track down memory leaks by providing detailed reports and notifications whenever a memory leak is detected, thus aiding in the optimization and improvement of app performance.
LeakCanary falls under the category of Java Tools, specifically focusing on memory management and debugging within the realm of Android development. It plays a crucial role in helping developers diagnose memory leaks, which can lead to application crashes and performance issues if left unaddressed. By integrating LeakCanary into their development workflow, Android developers can proactively identify and resolve memory leaks, ensuring their applications run smoothly and efficiently.
Originally founded by Square, a renowned technology company, LeakCanary was developed with the intention of addressing the common challenges faced by Android developers in detecting and fixing memory leaks. Its creation stemmed from the need to provide a reliable and effective solution for monitoring memory usage in Android applications, ultimately enhancing the quality and stability of mobile software. Since its inception, LeakCanary has gained significant popularity within the Android development community, establishing itself as a go-to tool for memory leak detection.
In terms of current market share, LeakCanary continues to be a dominant player in the realm of memory leak detection for Android applications. With its robust features and extensive community support, LeakCanary is well-positioned to maintain and potentially expand its market share in the foreseeable future. As the demand for high-performing and reliable Android applications grows, LeakCanary is likely to see continued adoption among developers seeking to deliver optimal user experiences through effective memory management.
LeakCanary is a crucial tool for companies utilizing Java technology, offering unparalleled benefits in memory leak detection and resolution. By incorporating LeakCanary into their tech stack, companies gain a competitive edge in ensuring the stability and performance of their applications.
Benefits of LeakCanary include:
Efficient Memory Leak Detection
LeakCanary provides real-time monitoring of memory allocation in Java applications, swiftly identifying and pinpointing memory leaks. Unlike manual memory management techniques, LeakCanary automates the detection process, saving valuable developer time and resources.
Detailed Leak Analysis
LeakCanary offers in-depth analysis of memory leaks, including leak traces and heap analysis, enabling developers to quickly diagnose and resolve issues. This level of detailed insight surpasses traditional memory analysis tools, ensuring faster bug resolution and improved application performance.
Seamless Integration
LeakCanary seamlessly integrates with existing development workflows, allowing for easy implementation and usage within the Java tech stack. This seamless integration enhances developer productivity and streamlines the debugging process, leading to faster time-to-resolution for memory leak issues.
In summary, LeakCanary stands out as a superior tool for companies due to its efficient memory leak detection, detailed analysis capabilities, and seamless integration within Java development environments. By leveraging LeakCanary, companies can proactively address memory leak issues and uphold the stability and efficiency of their applications.
LeakCanary is a popular Java tool used by various companies to detect memory leaks in their Android applications. Several well-known companies rely on LeakCanary to ensure optimal performance and stability of their mobile apps. Below are some real-life case studies showcasing how companies leverage LeakCanary in their development processes:
1. Square, Inc. Square, a leading financial services and mobile payment company, utilizes LeakCanary to monitor memory leaks in their Square Point of Sale app. By integrating LeakCanary into their development workflow, Square ensures early detection of memory leaks, allowing their engineering team to address issues proactively and deliver a seamless user experience. Square started using LeakCanary in early 2017 and has since credited the tool for improving the overall performance of their Android application.
2. Duolingo Duolingo, a prominent language-learning platform, relies on LeakCanary to identify and resolve memory leaks in their mobile app used by millions of users worldwide. With the need to maintain a high level of app responsiveness and reliability, Duolingo integrated LeakCanary into their development cycle to continuously monitor memory usage and prevent potential performance bottlenecks. The company adopted LeakCanary in late 2016 and has since seen significant improvements in app stability and user satisfaction.
3. Shopify Shopify, a leading e-commerce platform, incorporates LeakCanary into their Android app development to detect and rectify memory leaks that may impact the app's performance. By leveraging LeakCanary's capabilities, Shopify's engineering team gains insights into memory usage patterns, enabling them to optimize the app's memory management and enhance overall user experience. Shopify began using LeakCanary in mid-2018 and has since observed noticeable enhancements in app responsiveness and reliability.
These case studies demonstrate how companies like Square, Duolingo, and Shopify leverage LeakCanary to maintain the stability and performance of their Android applications, underscoring the tool's effectiveness in preventing memory leaks and ensuring seamless user experiences.
Sie können eine aktuelle Liste von Unternehmen, die LeakCanary verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 16 Unternehmen, die LeakCanary verwenden.
LeakCanary wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "Retail", "Software Development", "Financial Services", "Real Estate", "Technology, Information And Internet", "Professional Services", "Retail", "Technology, Information And Internet", "Oil And Gas", "Staffing And Recruiting", verwendet. Für eine umfassende Liste aller Branchen, die LeakCanary nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die LeakCanary verwenden, umfassen Afterpay, Square, Block, Fundrise, Compass.UOL, Akuaro Work SLU, Snappy Shopper, Cash App, GeekHunter, Mollica IT und viele mehr. Sie können eine vollständige Liste von 16 Unternehmen, die LeakCanary nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist LeakCanary am beliebtesten in Vereinigte Staaten (4 companies), Brasilien (3 companies), Indien (2 companies), Australien (1 companies), Spanien (1 companies), Vereinigtes Königreich (1 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die LeakCanary verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.