A useful technical resource regarding autosplitters is the Auto Splitters for LiveSplit repository on GitHub. While academic "papers" on the specific niche of speedrunning autosplitters are rare, the documentation and scripts found in these repositories serve as the primary technical references for the community. Key Resources for Autosplitters (2021–Present)
LiveSplit AutoSplitters Documentation: This is the central hub for learning to write ASL (Auto Splitting Language) scripts. It provides the most extensive support for game-specific features like starting, splitting, and resetting based on memory values.
AutoSplit (Image Comparison): If a game doesn't have a direct memory-based splitter, the AutoSplit project by Toufool is a vital tool. It uses image recognition to trigger splits by comparing real-time gameplay to pre-defined capture regions.
Video Auto Splitter (VAS): For console games or titles where memory access is restricted, the Video Auto Splitter component allows runners to use video feeds (via OBS VirtualCam) to automate timing based on HUD changes.
Scriptable Auto Splitter Examples: For a practical look at code structure from 2021, you can examine the GTA: Vice City Stories Auto Splitter, which demonstrates splitting for specific categories like "Any%" and "All Red Balloons". Technical Implementation Basics Most autosplitters function by:
Reading Memory: Using a Scriptable Auto Splitter to watch for specific pointers or addresses (e.g., loading screens, boss health reaching zero).
State Tracking: Comparing the current state of a memory value to its old state to determine if a split should trigger.
IGT Calculation: Automatically pausing the timer during loading screens to provide an accurate In-Game Time (IGT).
The year 2021 marked a significant era in the evolution of speedrunning, characterized by a sophisticated synergy between competitive gaming and open-source development on platforms like . At the heart of this intersection is the autosplitter
—a specialized script designed to automate the timing of speedruns, ensuring unparalleled accuracy and fairness in a community where milliseconds determine world records. The Technical Backbone: GitHub as a Speedrunning Lab autosplitter+games+github+2021
By 2021, GitHub had solidified its role as the central repository for the speedrunning community’s technical infrastructure. Most autosplitters are written in ASL (Auto Split Language) or C# and work as components for , the industry-standard timing software. Version Control:
Speedrunners used GitHub to track changes in game updates. When a game developer released a patch that changed memory addresses, contributors would quickly update the script on GitHub, ensuring that the global speedrunning community had immediate access to a working timer. Collaboration:
2021 saw a surge in "community-driven" scripts. Instead of a single developer maintaining a tool, GitHub allowed multiple runners to contribute code that handled complex "splits" (specific milestones in a game), such as automatically detecting when a boss died or a level-load finished. 2021: The Rise of Load-Removers
One of the most critical developments during this period was the refinement of Load-Remover autosplitters. In games like Cyberpunk 2077 Resident Evil Village
(both popular in 2021), hardware differences—such as playing on an NVMe SSD versus a standard HDD—could create unfair time advantages. Removing Hardware Bias:
Autosplitters hosted on GitHub in 2021 focused heavily on "Game Time" rather than "Real Time." By hooking into the game’s memory to see if a loading screen was active, the script would pause the timer, leveling the playing field for runners regardless of their PC specs. Impact on Competitive Integrity
The automation provided by these scripts removed the "human error" of manual splitting. In 2021, as high-profile marathons like Games Done Quick (GDQ)
continued to thrive online, the reliability of GitHub-hosted autosplitters was essential. They allowed commentators and viewers to see real-time data—such as "Gold Splits" (personal best segments)—which added a layer of professional sports-style analytics to the broadcast. Conclusion
The relationship between speedrunning and GitHub in 2021 represents a unique triumph of niche open-source software. The autosplitter transitioned from a luxury tool to a mandatory requirement for competitive legitimacy. Through the collaborative environment of GitHub, the speedrunning community turned video games into a precise science, proving that the drive to go fast is only possible through the collective effort to build better tools. specific games A useful technical resource regarding autosplitters is the
The Evolution and Implementation of Auto Splitters in Speedrunning (2021)
Auto splitters are specialized scripts designed to automate timer actions—starting, splitting, and resetting—during a speedrun. By 2021, these tools have become the gold standard for competitive integrity, removing human error from timing and enabling precise "Loadless" or "In-Game Time" (IGT) tracking. 1. Core Mechanics: How Auto Splitters Work
Most modern auto splitters operate by interacting directly with a game's memory in real-time. Memory Reading
: The script identifies specific RAM addresses that represent game states, such as a "Loading" flag (typically a boolean ), level IDs, or collectible counts. Pointer Paths
: Because memory addresses can change each time a game is launched, developers find "Pointer Paths"—a chain of offsets starting from a static base address—to reliably locate data. Alternative Methods : Some splitters use Image Recognition (capturing screen regions to detect visual cues) or Log Parsing
(reading text files generated by the game), though these are often slower or more resource-intensive. 2. The Developer's Toolkit
Building an auto splitter involves a specific set of tools and languages frequently hosted and maintained on platforms like GitHub. Auto Splitters for LiveSplit - GitHub
Feature: Automatic State Detection and Memory Scanning
This feature allows the autosplitter to monitor the game's process memory in real-time to track specific variables (such as player health, level IDs, or timer values). By continuously scanning these memory addresses, the software can automatically trigger actions—like starting, splitting, or resetting the timer—without manual input, ensuring frame-perfect accuracy for speedrunners. Example Repositories (representative of 2021)
GitHub wasn't just for downloading; 2021 was a teaching year. The keyword autosplitter games github 2021 often leads to tutorials.
While native to Switch, emulation on Yuzu/Ryujinx matured in 2021. Autosplitters for SMO had to read emulated RAM rather than native PC memory. The GitHub repositories from this year specifically note: "Updated for Yuzu EA 1500+."
In the high-stakes world of speedrunning, every millisecond counts. While skill, routing, and RNG manipulation make headlines, the unsung hero behind modern leaderboard integrity is the humble autosplitter. By 2021, the ecosystem for these automation tools had matured significantly, with GitHub serving as the central repository for developers and runners alike.
This article explores the state of autosplitters in 2021, which games dominated the scene, why GitHub became the industry standard, and how these tools reshaped competitive play.
The autosplitter script is typically a .asl file. You open LiveSplit > Edit Splits > Activate. If the 2021 script requires LiveSplit.Core.dll version 1.8, you may need to downgrade your LiveSplit.
To understand the significance of 2021, one must first understand the tool at the heart of the revolution: the autosplitter.
For years, speedrunners relied on manual timing. A runner would start a timer, play the game, and frantically hit a split button on their keyboard to mark the transition between levels or bosses. This introduced human error; a runner might lose a second simply by fumbling the split key, or worse, forget to split entirely, invalidating a segment of their run.
An autosplitter is a script, usually written in the ASL (Auto-Split Language) or ASLX format, that interacts directly with the game’s memory. It acts as a robotic referee. It reads the game's internal code—looking for specific values like "level ID changed" or "boss health = 0"—and automatically pauses and resumes the timer (typically in LiveSplit) with frame-perfect precision.
By 2021, autosplitters had evolved from simple triggers into complex, logic-driven monitors that could calculate load times, remove lag, and verify game states.